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mmsegmentation/configs/ann/metafile.yaml

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Collections:
- Name: ANN
License: Apache License 2.0
Metadata:
Training Data:
- Cityscapes
- ADE20K
- Pascal VOC 2012 + Aug
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
README: configs/ann/README.md
Frameworks:
- PyTorch
Models:
- Name: ann_r50-d8_4xb2-40k_cityscapes-512x1024
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 77.4
mIoU(ms+flip): 78.57
Config: configs/ann/ann_r50-d8_4xb2-40k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-50-D8
- ANN
Training Resources: 4x V100 GPUS
Memory (GB): 6.0
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x1024_40k_cityscapes/ann_r50-d8_512x1024_40k_cityscapes_20200605_095211-049fc292.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x1024_40k_cityscapes/ann_r50-d8_512x1024_40k_cityscapes_20200605_095211.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r101-d8_4xb2-40k_cityscapes-512x1024
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 76.55
mIoU(ms+flip): 78.85
Config: configs/ann/ann_r101-d8_4xb2-40k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101-D8
- ANN
Training Resources: 4x V100 GPUS
Memory (GB): 9.5
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x1024_40k_cityscapes/ann_r101-d8_512x1024_40k_cityscapes_20200605_095243-adf6eece.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x1024_40k_cityscapes/ann_r101-d8_512x1024_40k_cityscapes_20200605_095243.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r50-d8_4xb2-40k_cityscapes-769x769
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 78.89
mIoU(ms+flip): 80.46
Config: configs/ann/ann_r50-d8_4xb2-40k_cityscapes-769x769.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-50-D8
- ANN
Training Resources: 4x V100 GPUS
Memory (GB): 6.8
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_769x769_40k_cityscapes/ann_r50-d8_769x769_40k_cityscapes_20200530_025712-2b46b04d.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_769x769_40k_cityscapes/ann_r50-d8_769x769_40k_cityscapes_20200530_025712.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r101-d8_4xb2-40k_cityscapes-769x769
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.32
mIoU(ms+flip): 80.94
Config: configs/ann/ann_r101-d8_4xb2-40k_cityscapes-769x769.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101-D8
- ANN
Training Resources: 4x V100 GPUS
Memory (GB): 10.7
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_769x769_40k_cityscapes/ann_r101-d8_769x769_40k_cityscapes_20200530_025720-059bff28.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_769x769_40k_cityscapes/ann_r101-d8_769x769_40k_cityscapes_20200530_025720.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r50-d8_4xb2-80k_cityscapes-512x1024
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 77.34
mIoU(ms+flip): 78.65
Config: configs/ann/ann_r50-d8_4xb2-80k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-50-D8
- ANN
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x1024_80k_cityscapes/ann_r50-d8_512x1024_80k_cityscapes_20200607_101911-5a9ad545.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x1024_80k_cityscapes/ann_r50-d8_512x1024_80k_cityscapes_20200607_101911.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r101-d8_4xb2-80k_cityscapes-512x1024
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 77.14
mIoU(ms+flip): 78.81
Config: configs/ann/ann_r101-d8_4xb2-80k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101-D8
- ANN
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x1024_80k_cityscapes/ann_r101-d8_512x1024_80k_cityscapes_20200607_013728-aceccc6e.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x1024_80k_cityscapes/ann_r101-d8_512x1024_80k_cityscapes_20200607_013728.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r50-d8_4xb2-80k_cityscapes-769x769
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 78.88
mIoU(ms+flip): 80.57
Config: configs/ann/ann_r50-d8_4xb2-80k_cityscapes-769x769.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-50-D8
- ANN
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_769x769_80k_cityscapes/ann_r50-d8_769x769_80k_cityscapes_20200607_044426-cc7ff323.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_769x769_80k_cityscapes/ann_r50-d8_769x769_80k_cityscapes_20200607_044426.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r101-d8_4xb2-80k_cityscapes-769x769
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 78.8
mIoU(ms+flip): 80.34
Config: configs/ann/ann_r101-d8_4xb2-80k_cityscapes-769x769.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101-D8
- ANN
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_769x769_80k_cityscapes/ann_r101-d8_769x769_80k_cityscapes_20200607_013713-a9d4be8d.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_769x769_80k_cityscapes/ann_r101-d8_769x769_80k_cityscapes_20200607_013713.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r50-d8_4xb4-80k_ade20k-512x512
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 41.01
mIoU(ms+flip): 42.3
Config: configs/ann/ann_r50-d8_4xb4-80k_ade20k-512x512.py
Metadata:
Training Data: ADE20K
Batch Size: 16
Architecture:
- R-50-D8
- ANN
Training Resources: 4x V100 GPUS
Memory (GB): 9.1
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x512_80k_ade20k/ann_r50-d8_512x512_80k_ade20k_20200615_014818-26f75e11.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x512_80k_ade20k/ann_r50-d8_512x512_80k_ade20k_20200615_014818.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r101-d8_4xb4-80k_ade20k-512x512
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 42.94
mIoU(ms+flip): 44.18
Config: configs/ann/ann_r101-d8_4xb4-80k_ade20k-512x512.py
Metadata:
Training Data: ADE20K
Batch Size: 16
Architecture:
- R-101-D8
- ANN
Training Resources: 4x V100 GPUS
Memory (GB): 12.5
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x512_80k_ade20k/ann_r101-d8_512x512_80k_ade20k_20200615_014818-c0153543.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x512_80k_ade20k/ann_r101-d8_512x512_80k_ade20k_20200615_014818.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r50-d8_4xb4-160k_ade20k-512x512
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 41.74
mIoU(ms+flip): 42.62
Config: configs/ann/ann_r50-d8_4xb4-160k_ade20k-512x512.py
Metadata:
Training Data: ADE20K
Batch Size: 16
Architecture:
- R-50-D8
- ANN
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x512_160k_ade20k/ann_r50-d8_512x512_160k_ade20k_20200615_231733-892247bc.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x512_160k_ade20k/ann_r50-d8_512x512_160k_ade20k_20200615_231733.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r101-d8_4xb4-160k_ade20k-512x512
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 42.94
mIoU(ms+flip): 44.06
Config: configs/ann/ann_r101-d8_4xb4-160k_ade20k-512x512.py
Metadata:
Training Data: ADE20K
Batch Size: 16
Architecture:
- R-101-D8
- ANN
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x512_160k_ade20k/ann_r101-d8_512x512_160k_ade20k_20200615_231733-955eb1ec.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x512_160k_ade20k/ann_r101-d8_512x512_160k_ade20k_20200615_231733.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r50-d8_4xb4-20k_voc12aug-512x512
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
Metrics:
mIoU: 74.86
mIoU(ms+flip): 76.13
Config: configs/ann/ann_r50-d8_4xb4-20k_voc12aug-512x512.py
Metadata:
Training Data: Pascal VOC 2012 + Aug
Batch Size: 16
Architecture:
- R-50-D8
- ANN
Training Resources: 4x V100 GPUS
Memory (GB): 6.0
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x512_20k_voc12aug/ann_r50-d8_512x512_20k_voc12aug_20200617_222246-dfcb1c62.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x512_20k_voc12aug/ann_r50-d8_512x512_20k_voc12aug_20200617_222246.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r101-d8_4xb4-20k_voc12aug-512x512
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
Metrics:
mIoU: 77.47
mIoU(ms+flip): 78.7
Config: configs/ann/ann_r101-d8_4xb4-20k_voc12aug-512x512.py
Metadata:
Training Data: Pascal VOC 2012 + Aug
Batch Size: 16
Architecture:
- R-101-D8
- ANN
Training Resources: 4x V100 GPUS
Memory (GB): 9.5
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x512_20k_voc12aug/ann_r101-d8_512x512_20k_voc12aug_20200617_222246-2fad0042.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x512_20k_voc12aug/ann_r101-d8_512x512_20k_voc12aug_20200617_222246.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r50-d8_4xb4-40k_voc12aug-512x512
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
Metrics:
mIoU: 76.56
mIoU(ms+flip): 77.51
Config: configs/ann/ann_r50-d8_4xb4-40k_voc12aug-512x512.py
Metadata:
Training Data: Pascal VOC 2012 + Aug
Batch Size: 16
Architecture:
- R-50-D8
- ANN
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x512_40k_voc12aug/ann_r50-d8_512x512_40k_voc12aug_20200613_231314-b5dac322.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x512_40k_voc12aug/ann_r50-d8_512x512_40k_voc12aug_20200613_231314.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
- Name: ann_r101-d8_4xb4-40k_voc12aug-512x512
In Collection: ANN
Results:
Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
Metrics:
mIoU: 76.7
mIoU(ms+flip): 78.06
Config: configs/ann/ann_r101-d8_4xb4-40k_voc12aug-512x512.py
Metadata:
Training Data: Pascal VOC 2012 + Aug
Batch Size: 16
Architecture:
- R-101-D8
- ANN
Training Resources: 4x V100 GPUS
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x512_40k_voc12aug/ann_r101-d8_512x512_40k_voc12aug_20200613_231314-bd205bbe.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x512_40k_voc12aug/ann_r101-d8_512x512_40k_voc12aug_20200613_231314.log.json
Paper:
Title: Asymmetric Non-local Neural Networks for Semantic Segmentation
URL: https://arxiv.org/abs/1908.07678
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ann_head.py#L185
Framework: PyTorch
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