mirrors/mmsegmentation
1
0
Fork 0
mirror of https://github.com/open-mmlab/mmsegmentation.git synced 2025-06-03 16:33:52 +08:00
Code Issues Projects Releases Wiki Activity
mmsegmentation/configs/deeplabv3plus/metafile.yaml

1042 lines
48 KiB
YAML
Raw Blame History

Collections:
- Name: DeepLabV3+
License: Apache License 2.0
Metadata:
Training Data:
- Cityscapes
- ADE20K
- Pascal VOC 2012 + Aug
- Pascal Context
- Pascal Context 59
- LoveDA
- Potsdam
- Vaihingen
- iSAID
- Mapillary Vistas v1.2
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
README: configs/deeplabv3plus/README.md
Frameworks:
- PyTorch
Models:
- Name: deeplabv3plus_r50-d8_4xb2-40k_cityscapes-512x1024
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.61
mIoU(ms+flip): 81.01
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-40k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 7.5
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes/deeplabv3plus_r50-d8_512x1024_40k_cityscapes_20200605_094610-d222ffcd.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes/deeplabv3plus_r50-d8_512x1024_40k_cityscapes_20200605_094610.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb2-40k_cityscapes-512x1024
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 80.21
mIoU(ms+flip): 81.82
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-40k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 11.0
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_40k_cityscapes/deeplabv3plus_r101-d8_512x1024_40k_cityscapes_20200605_094614-3769eecf.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_40k_cityscapes/deeplabv3plus_r101-d8_512x1024_40k_cityscapes_20200605_094614.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb2-40k_cityscapes-769x769
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 78.97
mIoU(ms+flip): 80.46
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-40k_cityscapes-769x769.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 8.5
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_40k_cityscapes/deeplabv3plus_r50-d8_769x769_40k_cityscapes_20200606_114143-1dcb0e3c.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_40k_cityscapes/deeplabv3plus_r50-d8_769x769_40k_cityscapes_20200606_114143.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb2-40k_cityscapes-769x769
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.46
mIoU(ms+flip): 80.5
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-40k_cityscapes-769x769.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 12.5
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_40k_cityscapes/deeplabv3plus_r101-d8_769x769_40k_cityscapes_20200606_114304-ff414b9e.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_40k_cityscapes/deeplabv3plus_r101-d8_769x769_40k_cityscapes_20200606_114304.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r18-d8_4xb2-80k_cityscapes-512x1024
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 76.89
mIoU(ms+flip): 78.76
Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb2-80k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-18-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 2.2
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x1024_80k_cityscapes/deeplabv3plus_r18-d8_512x1024_80k_cityscapes_20201226_080942-cff257fe.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x1024_80k_cityscapes/deeplabv3plus_r18-d8_512x1024_80k_cityscapes-20201226_080942.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb2-80k_cityscapes-512x1024
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 80.09
mIoU(ms+flip): 81.13
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-80k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_80k_cityscapes/deeplabv3plus_r50-d8_512x1024_80k_cityscapes_20200606_114049-f9fb496d.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_80k_cityscapes/deeplabv3plus_r50-d8_512x1024_80k_cityscapes_20200606_114049.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb2-80k_cityscapes-512x1024
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 80.97
mIoU(ms+flip): 82.03
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-80k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_512x1024_80k_cityscapes_20200606_114143-068fcfe9.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_512x1024_80k_cityscapes_20200606_114143.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb2-amp-80k_cityscapes-512x1024
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 80.46
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-amp-80k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101-D8
- DeepLabV3+
- (FP16)
Training Resources: 4x V100 GPUS
Memory (GB): 6.35
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes_20200717_230920-f1104f4b.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes_20200717_230920.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r18-d8_4xb2-80k_cityscapes-769x769
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 76.26
mIoU(ms+flip): 77.91
Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb2-80k_cityscapes-769x769.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-18-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 2.5
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_769x769_80k_cityscapes/deeplabv3plus_r18-d8_769x769_80k_cityscapes_20201226_083346-f326e06a.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_769x769_80k_cityscapes/deeplabv3plus_r18-d8_769x769_80k_cityscapes-20201226_083346.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb2-80k_cityscapes-769x769
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.83
mIoU(ms+flip): 81.48
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-80k_cityscapes-769x769.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_80k_cityscapes/deeplabv3plus_r50-d8_769x769_80k_cityscapes_20200606_210233-0e9dfdc4.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_80k_cityscapes/deeplabv3plus_r50-d8_769x769_80k_cityscapes_20200606_210233.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb2-80k_cityscapes-769x769
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 80.65
mIoU(ms+flip): 81.47
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-80k_cityscapes-769x769.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_80k_cityscapes/deeplabv3plus_r101-d8_769x769_80k_cityscapes_20220406_154720-dfcc0b68.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_80k_cityscapes/deeplabv3plus_r101-d8_769x769_80k_cityscapes_20220406_154720.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: ddeeplabv3plus_r101-d16-mg124_4xb2-40k_cityscapes-512x1024
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.09
mIoU(ms+flip): 80.36
Config: configs/deeplabv3plus/ddeeplabv3plus_r101-d16-mg124_4xb2-40k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101-D16-MG124
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 5.8
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes_20200908_005644-cf9ce186.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes-20200908_005644.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d16-mg124_4xb2-80k_cityscapes-512x1024
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.9
mIoU(ms+flip): 81.33
Config: configs/deeplabv3plus/deeplabv3plus_r101-d16-mg124_4xb2-80k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101-D16-MG124
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 9.9
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes_20200908_005644-ee6158e0.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes-20200908_005644.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-512x1024
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 75.87
mIoU(ms+flip): 77.52
Config: configs/deeplabv3plus/deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-18b-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 2.1
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes_20201226_090828-e451abd9.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes-20201226_090828.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-512x1024
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 80.28
mIoU(ms+flip): 81.44
Config: configs/deeplabv3plus/deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-50b-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 7.4
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes_20201225_213645-a97e4e43.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes-20201225_213645.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-512x1024
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 80.16
mIoU(ms+flip): 81.41
Config: configs/deeplabv3plus/deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101b-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 10.9
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes_20201226_190843-9c3c93a4.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes-20201226_190843.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-769x769
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 76.36
mIoU(ms+flip): 78.24
Config: configs/deeplabv3plus/deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-769x769.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-18b-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 2.4
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_769x769_80k_cityscapes/deeplabv3plus_r18b-d8_769x769_80k_cityscapes_20201226_151312-2c868aff.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_769x769_80k_cityscapes/deeplabv3plus_r18b-d8_769x769_80k_cityscapes-20201226_151312.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-769x769
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.41
mIoU(ms+flip): 80.56
Config: configs/deeplabv3plus/deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-769x769.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-50b-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 8.4
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_769x769_80k_cityscapes/deeplabv3plus_r50b-d8_769x769_80k_cityscapes_20201225_224655-8b596d1c.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_769x769_80k_cityscapes/deeplabv3plus_r50b-d8_769x769_80k_cityscapes-20201225_224655.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-769x769
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.88
mIoU(ms+flip): 81.46
Config: configs/deeplabv3plus/deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-769x769.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101b-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 12.3
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_769x769_80k_cityscapes/deeplabv3plus_r101b-d8_769x769_80k_cityscapes_20201226_205041-227cdf7c.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_769x769_80k_cityscapes/deeplabv3plus_r101b-d8_769x769_80k_cityscapes-20201226_205041.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-80k_ade20k-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 42.72
mIoU(ms+flip): 43.75
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_ade20k-512x512.py
Metadata:
Training Data: ADE20K
Batch Size: 16
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 10.6
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_ade20k/deeplabv3plus_r50-d8_512x512_80k_ade20k_20200614_185028-bf1400d8.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_ade20k/deeplabv3plus_r50-d8_512x512_80k_ade20k_20200614_185028.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 44.6
mIoU(ms+flip): 46.06
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512.py
Metadata:
Training Data: ADE20K
Batch Size: 16
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 14.1
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_ade20k/deeplabv3plus_r101-d8_512x512_80k_ade20k_20200615_014139-d5730af7.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_ade20k/deeplabv3plus_r101-d8_512x512_80k_ade20k_20200615_014139.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-160k_ade20k-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 43.95
mIoU(ms+flip): 44.93
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-160k_ade20k-512x512.py
Metadata:
Training Data: ADE20K
Batch Size: 16
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_160k_ade20k/deeplabv3plus_r50-d8_512x512_160k_ade20k_20200615_124504-6135c7e0.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_160k_ade20k/deeplabv3plus_r50-d8_512x512_160k_ade20k_20200615_124504.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 45.47
mIoU(ms+flip): 46.35
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512.py
Metadata:
Training Data: ADE20K
Batch Size: 16
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_160k_ade20k/deeplabv3plus_r101-d8_512x512_160k_ade20k_20200615_123232-38ed86bb.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_160k_ade20k/deeplabv3plus_r101-d8_512x512_160k_ade20k_20200615_123232.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-20k_voc12aug-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
Metrics:
mIoU: 75.93
mIoU(ms+flip): 77.5
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-20k_voc12aug-512x512.py
Metadata:
Training Data: Pascal VOC 2012 + Aug
Batch Size: 16
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 7.6
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_20k_voc12aug/deeplabv3plus_r50-d8_512x512_20k_voc12aug_20200617_102323-aad58ef1.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_20k_voc12aug/deeplabv3plus_r50-d8_512x512_20k_voc12aug_20200617_102323.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-20k_voc12aug-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
Metrics:
mIoU: 77.22
mIoU(ms+flip): 78.59
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-20k_voc12aug-512x512.py
Metadata:
Training Data: Pascal VOC 2012 + Aug
Batch Size: 16
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 11.0
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_20k_voc12aug/deeplabv3plus_r101-d8_512x512_20k_voc12aug_20200617_102345-c7ff3d56.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_20k_voc12aug/deeplabv3plus_r101-d8_512x512_20k_voc12aug_20200617_102345.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-40k_voc12aug-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
Metrics:
mIoU: 76.81
mIoU(ms+flip): 77.57
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-40k_voc12aug-512x512.py
Metadata:
Training Data: Pascal VOC 2012 + Aug
Batch Size: 16
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_40k_voc12aug/deeplabv3plus_r50-d8_512x512_40k_voc12aug_20200613_161759-e1b43aa9.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_40k_voc12aug/deeplabv3plus_r50-d8_512x512_40k_voc12aug_20200613_161759.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-40k_voc12aug-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
Metrics:
mIoU: 78.62
mIoU(ms+flip): 79.53
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-40k_voc12aug-512x512.py
Metadata:
Training Data: Pascal VOC 2012 + Aug
Batch Size: 16
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_40k_voc12aug/deeplabv3plus_r101-d8_512x512_40k_voc12aug_20200613_205333-faf03387.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_40k_voc12aug/deeplabv3plus_r101-d8_512x512_40k_voc12aug_20200613_205333.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-40k_pascal-context-480x480
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Pascal Context
Metrics:
mIoU: 47.3
mIoU(ms+flip): 48.47
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-40k_pascal-context-480x480.py
Metadata:
Training Data: Pascal Context
Batch Size: 16
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context/deeplabv3plus_r101-d8_480x480_40k_pascal_context_20200911_165459-d3c8a29e.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context/deeplabv3plus_r101-d8_480x480_40k_pascal_context-20200911_165459.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-80k_pascal-context-480x480
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Pascal Context
Metrics:
mIoU: 47.23
mIoU(ms+flip): 48.26
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_pascal-context-480x480.py
Metadata:
Training Data: Pascal Context
Batch Size: 16
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context/deeplabv3plus_r101-d8_480x480_80k_pascal_context_20200911_155322-145d3ee8.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context/deeplabv3plus_r101-d8_480x480_80k_pascal_context-20200911_155322.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-40k_pascal-context-59-480x480
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Pascal Context 59
Metrics:
mIoU: 52.86
mIoU(ms+flip): 54.54
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-40k_pascal-context-59-480x480.py
Metadata:
Training Data: Pascal Context 59
Batch Size: 16
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59_20210416_111233-ed937f15.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59-20210416_111233.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-80k_pascal-context-59-480x480
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Pascal Context 59
Metrics:
mIoU: 53.2
mIoU(ms+flip): 54.67
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_pascal-context-59-480x480.py
Metadata:
Training Data: Pascal Context 59
Batch Size: 16
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59_20210416_111127-7ca0331d.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59-20210416_111127.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r18-d8_4xb4-80k_loveda-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: LoveDA
Metrics:
mIoU: 50.28
mIoU(ms+flip): 50.47
Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_loveda-512x512.py
Metadata:
Training Data: LoveDA
Batch Size: 16
Architecture:
- R-18-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 1.93
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_loveda/deeplabv3plus_r18-d8_512x512_80k_loveda_20211104_132800-ce0fa0ca.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_loveda/deeplabv3plus_r18-d8_512x512_80k_loveda_20211104_132800.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-80k_loveda-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: LoveDA
Metrics:
mIoU: 50.99
mIoU(ms+flip): 50.65
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_loveda-512x512.py
Metadata:
Training Data: LoveDA
Batch Size: 16
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 7.37
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_loveda/deeplabv3plus_r50-d8_512x512_80k_loveda_20211105_080442-f0720392.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_loveda/deeplabv3plus_r50-d8_512x512_80k_loveda_20211105_080442.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-80k_loveda-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: LoveDA
Metrics:
mIoU: 51.47
mIoU(ms+flip): 51.32
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_loveda-512x512.py
Metadata:
Training Data: LoveDA
Batch Size: 16
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 10.84
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_loveda/deeplabv3plus_r101-d8_512x512_80k_loveda_20211105_110759-4c1f297e.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_loveda/deeplabv3plus_r101-d8_512x512_80k_loveda_20211105_110759.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r18-d8_4xb4-80k_potsdam-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Potsdam
Metrics:
mIoU: 77.09
mIoU(ms+flip): 78.44
Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_potsdam-512x512.py
Metadata:
Training Data: Potsdam
Batch Size: 16
Architecture:
- R-18-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 1.91
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_potsdam/deeplabv3plus_r18-d8_512x512_80k_potsdam_20211219_020601-75fd5bc3.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_potsdam/deeplabv3plus_r18-d8_512x512_80k_potsdam_20211219_020601.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-80k_potsdam-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Potsdam
Metrics:
mIoU: 78.33
mIoU(ms+flip): 79.27
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_potsdam-512x512.py
Metadata:
Training Data: Potsdam
Batch Size: 16
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 7.36
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_potsdam/deeplabv3plus_r50-d8_512x512_80k_potsdam_20211219_031508-7e7a2b24.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_potsdam/deeplabv3plus_r50-d8_512x512_80k_potsdam_20211219_031508.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-80k_potsdam-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Potsdam
Metrics:
mIoU: 78.7
mIoU(ms+flip): 79.47
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_potsdam-512x512.py
Metadata:
Training Data: Potsdam
Batch Size: 16
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 10.83
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_potsdam/deeplabv3plus_r101-d8_512x512_80k_potsdam_20211219_031508-8b112708.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_potsdam/deeplabv3plus_r101-d8_512x512_80k_potsdam_20211219_031508.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r18-d8_4xb4-80k_vaihingen-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Vaihingen
Metrics:
mIoU: 72.5
mIoU(ms+flip): 74.13
Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_vaihingen-512x512.py
Metadata:
Training Data: Vaihingen
Batch Size: 16
Architecture:
- R-18-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 1.91
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen_20211231_230805-7626a263.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen_20211231_230805.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-80k_vaihingen-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Vaihingen
Metrics:
mIoU: 73.97
mIoU(ms+flip): 75.05
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_vaihingen-512x512.py
Metadata:
Training Data: Vaihingen
Batch Size: 16
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 7.36
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen_20211231_230816-5040938d.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen_20211231_230816.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-80k_vaihingen-512x512
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Vaihingen
Metrics:
mIoU: 73.06
mIoU(ms+flip): 74.14
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_vaihingen-512x512.py
Metadata:
Training Data: Vaihingen
Batch Size: 16
Architecture:
- R-101-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 10.83
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen_20211231_230816-8a095afa.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen_20211231_230816.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r18-d8_4xb4-80k_isaid-896x896
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: iSAID
Metrics:
mIoU: 61.35
mIoU(ms+flip): 62.61
Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_isaid-896x896.py
Metadata:
Training Data: iSAID
Batch Size: 16
Architecture:
- R-18-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 6.19
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid_20220110_180526-7059991d.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid_20220110_180526.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-80k_isaid-896x896
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: iSAID
Metrics:
mIoU: 67.06
mIoU(ms+flip): 68.02
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_isaid-896x896.py
Metadata:
Training Data: iSAID
Batch Size: 16
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x V100 GPUS
Memory (GB): 21.45
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid_20220110_180526-598be439.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid_20220110_180526.log.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280
In Collection: DeepLabV3+
Results:
Task: Semantic Segmentation
Dataset: Mapillary Vistas v1.2
Metrics:
mIoU: 47.35
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280.py
Metadata:
Training Data: Mapillary Vistas v1.2
Batch Size: 8
Architecture:
- R-50-D8
- DeepLabV3+
Training Resources: 4x A100 GPUS
Memory (GB): 24.04
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280_20230301_110504-655f8e43.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280_20230301_110504.json
Paper:
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
URL: https://arxiv.org/abs/1802.02611
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
Framework: PyTorch
Reference in New Issue View Git Blame Copy Permalink