105 lines
3.5 KiB
YAML
105 lines
3.5 KiB
YAML
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: 42.2
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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-76220505.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-24257de9.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: 42.7
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 37.8
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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-c5860453.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: 36.9
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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-5c6ea10d.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-46fdd1c6.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: 40.3
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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-5cf33c76.pth
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