49 lines
1.7 KiB
YAML
49 lines
1.7 KiB
YAML
Collections:
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- Name: Rethinking ImageNet Pre-training
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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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- FPN
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- RPN
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- ResNet
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Paper:
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URL: https://arxiv.org/abs/1811.08883
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Title: 'Rethinking ImageNet Pre-training'
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README: configs/scratch/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/configs/scratch/faster_rcnn_r50_fpn_gn-all_scratch_6x_coco.py
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Version: v2.0.0
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Models:
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- Name: faster_rcnn_r50_fpn_gn-all_scratch_6x_coco
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In Collection: Rethinking ImageNet Pre-training
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Config: configs/scratch/faster_rcnn_r50_fpn_gn-all_scratch_6x_coco.py
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Metadata:
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Epochs: 72
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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: 40.7
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Weights: https://download.openmmlab.com/mmdetection/v2.0/scratch/faster_rcnn_r50_fpn_gn-all_scratch_6x_coco/scratch_faster_rcnn_r50_fpn_gn_6x_bbox_mAP-0.407_20200201_193013-90813d01.pth
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- Name: mask_rcnn_r50_fpn_gn-all_scratch_6x_coco
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In Collection: Rethinking ImageNet Pre-training
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Config: configs/scratch/mask_rcnn_r50_fpn_gn-all_scratch_6x_coco.py
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Metadata:
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Epochs: 72
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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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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 37.4
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Weights: https://download.openmmlab.com/mmdetection/v2.0/scratch/mask_rcnn_r50_fpn_gn-all_scratch_6x_coco/scratch_mask_rcnn_r50_fpn_gn_6x_bbox_mAP-0.412__segm_mAP-0.374_20200201_193051-1e190a40.pth
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