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metafile.yml
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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: 42.3
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
- 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_20220311_011857-9376aa9d.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: 43.0
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.1
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
- 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: 37.1
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
- 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_20220311_110809-b0bcf5f4.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: 39.9
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