111 lines
4.0 KiB
YAML
111 lines
4.0 KiB
YAML
Collections:
|
|
- Name: FPN
|
|
License: Apache License 2.0
|
|
Metadata:
|
|
Training Data:
|
|
- Cityscapes
|
|
- ADE20K
|
|
Paper:
|
|
Title: Panoptic Feature Pyramid Networks
|
|
URL: https://arxiv.org/abs/1901.02446
|
|
README: configs/sem_fpn/README.md
|
|
Frameworks:
|
|
- PyTorch
|
|
Models:
|
|
- Name: fpn_r50_4xb2-80k_cityscapes-512x1024
|
|
In Collection: FPN
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 74.52
|
|
mIoU(ms+flip): 76.08
|
|
Config: configs/sem_fpn/fpn_r50_4xb2-80k_cityscapes-512x1024.py
|
|
Metadata:
|
|
Training Data: Cityscapes
|
|
Batch Size: 8
|
|
Architecture:
|
|
- R-50
|
|
- FPN
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 2.8
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r50_512x1024_80k_cityscapes/fpn_r50_512x1024_80k_cityscapes_20200717_021437-94018a0d.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r50_512x1024_80k_cityscapes/fpn_r50_512x1024_80k_cityscapes-20200717_021437.log.json
|
|
Paper:
|
|
Title: Panoptic Feature Pyramid Networks
|
|
URL: https://arxiv.org/abs/1901.02446
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/fpn_head.py#L12
|
|
Framework: PyTorch
|
|
- Name: fpn_r101_4xb2-80k_cityscapes-512x1024
|
|
In Collection: FPN
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 75.8
|
|
mIoU(ms+flip): 77.4
|
|
Config: configs/sem_fpn/fpn_r101_4xb2-80k_cityscapes-512x1024.py
|
|
Metadata:
|
|
Training Data: Cityscapes
|
|
Batch Size: 8
|
|
Architecture:
|
|
- R-101
|
|
- FPN
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 3.9
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r101_512x1024_80k_cityscapes/fpn_r101_512x1024_80k_cityscapes_20200717_012416-c5800d4c.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r101_512x1024_80k_cityscapes/fpn_r101_512x1024_80k_cityscapes-20200717_012416.log.json
|
|
Paper:
|
|
Title: Panoptic Feature Pyramid Networks
|
|
URL: https://arxiv.org/abs/1901.02446
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/fpn_head.py#L12
|
|
Framework: PyTorch
|
|
- Name: fpn_r50_4xb4-160k_ade20k-512x512
|
|
In Collection: FPN
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 37.49
|
|
mIoU(ms+flip): 39.09
|
|
Config: configs/sem_fpn/fpn_r50_4xb4-160k_ade20k-512x512.py
|
|
Metadata:
|
|
Training Data: ADE20K
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-50
|
|
- FPN
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 4.9
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r50_512x512_160k_ade20k/fpn_r50_512x512_160k_ade20k_20200718_131734-5b5a6ab9.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r50_512x512_160k_ade20k/fpn_r50_512x512_160k_ade20k-20200718_131734.log.json
|
|
Paper:
|
|
Title: Panoptic Feature Pyramid Networks
|
|
URL: https://arxiv.org/abs/1901.02446
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/fpn_head.py#L12
|
|
Framework: PyTorch
|
|
- Name: fpn_r101_4xb4-160k_ade20k-512x512
|
|
In Collection: FPN
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 39.35
|
|
mIoU(ms+flip): 40.72
|
|
Config: configs/sem_fpn/fpn_r101_4xb4-160k_ade20k-512x512.py
|
|
Metadata:
|
|
Training Data: ADE20K
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101
|
|
- FPN
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 5.9
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r101_512x512_160k_ade20k/fpn_r101_512x512_160k_ade20k_20200718_131734-306b5004.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r101_512x512_160k_ade20k/fpn_r101_512x512_160k_ade20k-20200718_131734.log.json
|
|
Paper:
|
|
Title: Panoptic Feature Pyramid Networks
|
|
URL: https://arxiv.org/abs/1901.02446
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/fpn_head.py#L12
|
|
Framework: PyTorch
|