OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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104 lines
3.6 KiB
104 lines
3.6 KiB
Collections: |
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- Name: Feature Pyramid Grids |
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Metadata: |
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Training Data: COCO |
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Training Techniques: |
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- SGD with Momentum |
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- Weight Decay |
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Training Resources: 8x V100 GPUs |
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Architecture: |
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- Feature Pyramid Grids |
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Paper: |
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URL: https://arxiv.org/abs/2004.03580 |
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Title: 'Feature Pyramid Grids' |
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README: configs/fpg/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.10.0/mmdet/models/necks/fpg.py#L101 |
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Version: v2.10.0 |
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Models: |
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- Name: faster_rcnn_r50_fpg_crop640_50e_coco |
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In Collection: Feature Pyramid Grids |
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Config: configs/fpg/faster_rcnn_r50_fpg_crop640_50e_coco.py |
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Metadata: |
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Training Memory (GB): 20.0 |
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Epochs: 50 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 42.3 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/fpg/faster_rcnn_r50_fpg_crop640_50e_coco/faster_rcnn_r50_fpg_crop640_50e_coco_20220311_011856-74109f42.pth |
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- Name: faster_rcnn_r50_fpg-chn128_crop640_50e_coco |
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In Collection: Feature Pyramid Grids |
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Config: configs/fpg/faster_rcnn_r50_fpg-chn128_crop640_50e_coco.py |
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Metadata: |
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Training Memory (GB): 11.9 |
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Epochs: 50 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 41.2 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/fpg/faster_rcnn_r50_fpg-chn128_crop640_50e_coco/faster_rcnn_r50_fpg-chn128_crop640_50e_coco_20220311_011857-9376aa9d.pth |
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- Name: mask_rcnn_r50_fpg_crop640_50e_coco |
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In Collection: Feature Pyramid Grids |
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Config: configs/fpg/mask_rcnn_r50_fpg_crop640_50e_coco.py |
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Metadata: |
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Training Memory (GB): 23.2 |
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Epochs: 50 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 43.0 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 38.1 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/fpg/mask_rcnn_r50_fpg_crop640_50e_coco/mask_rcnn_r50_fpg_crop640_50e_coco_20220311_011857-233b8334.pth |
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- Name: mask_rcnn_r50_fpg-chn128_crop640_50e_coco |
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In Collection: Feature Pyramid Grids |
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Config: configs/fpg/mask_rcnn_r50_fpg-chn128_crop640_50e_coco.py |
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Metadata: |
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Training Memory (GB): 15.3 |
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Epochs: 50 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 41.7 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 37.1 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/fpg/mask_rcnn_r50_fpg-chn128_crop640_50e_coco/mask_rcnn_r50_fpg-chn128_crop640_50e_coco_20220311_011859-043c9b4e.pth |
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- Name: retinanet_r50_fpg_crop640_50e_coco |
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In Collection: Feature Pyramid Grids |
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Config: configs/fpg/retinanet_r50_fpg_crop640_50e_coco.py |
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Metadata: |
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Training Memory (GB): 20.8 |
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Epochs: 50 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 40.5 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/fpg/retinanet_r50_fpg_crop640_50e_coco/retinanet_r50_fpg_crop640_50e_coco_20220311_110809-b0bcf5f4.pth |
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- Name: retinanet_r50_fpg-chn128_crop640_50e_coco |
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In Collection: Feature Pyramid Grids |
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Config: configs/fpg/retinanet_r50_fpg-chn128_crop640_50e_coco.py |
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Metadata: |
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Training Memory (GB): 19.9 |
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Epochs: 50 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 39.9 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/fpg/retinanet_r50_fpg-chn128_crop640_50e_coco/retinanet_r50_fpg-chn128_crop640_50e_coco_20220313_104829-ee99a686.pth
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