Collections: - Name: Feature Pyramid Grids Metadata: Training Data: COCO Training Techniques: - SGD with Momentum - Weight Decay Training Resources: 8x V100 GPUs Architecture: - Feature Pyramid Grids Paper: URL: https://arxiv.org/abs/2004.03580 Title: 'Feature Pyramid Grids' README: configs/fpg/README.md Code: URL: https://github.com/open-mmlab/mmdetection/blob/v2.10.0/mmdet/models/necks/fpg.py#L101 Version: v2.10.0 Models: - Name: faster_rcnn_r50_fpg_crop640_50e_coco In Collection: Feature Pyramid Grids Config: configs/fpg/faster_rcnn_r50_fpg_crop640_50e_coco.py Metadata: Training Memory (GB): 20.0 Epochs: 50 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 42.2 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 - Name: faster_rcnn_r50_fpg-chn128_crop640_50e_coco In Collection: Feature Pyramid Grids Config: configs/fpg/faster_rcnn_r50_fpg-chn128_crop640_50e_coco.py Metadata: Training Memory (GB): 11.9 Epochs: 50 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 41.2 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 - Name: mask_rcnn_r50_fpg_crop640_50e_coco In Collection: Feature Pyramid Grids Config: configs/fpg/mask_rcnn_r50_fpg_crop640_50e_coco.py Metadata: Training Memory (GB): 23.2 Epochs: 50 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 42.7 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 37.8 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 - Name: mask_rcnn_r50_fpg-chn128_crop640_50e_coco In Collection: Feature Pyramid Grids Config: configs/fpg/mask_rcnn_r50_fpg-chn128_crop640_50e_coco.py Metadata: Training Memory (GB): 15.3 Epochs: 50 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 41.7 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 36.9 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 - Name: retinanet_r50_fpg_crop640_50e_coco In Collection: Feature Pyramid Grids Config: configs/fpg/retinanet_r50_fpg_crop640_50e_coco.py Metadata: Training Memory (GB): 20.8 Epochs: 50 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 40.5 Weights: https://download.openmmlab.com/mmdetection/v2.0/fpg/retinanet_r50_fpg_crop640_50e_coco/retinanet_r50_fpg_crop640_50e_coco-46fdd1c6.pth - Name: retinanet_r50_fpg-chn128_crop640_50e_coco In Collection: Feature Pyramid Grids Config: configs/fpg/retinanet_r50_fpg-chn128_crop640_50e_coco.py Metadata: Training Memory (GB): 19.9 Epochs: 50 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 40.3 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