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| 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 | |