OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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55 lines
1.7 KiB
55 lines
1.7 KiB
Collections: |
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- Name: CARAFE |
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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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- RPN |
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- FPN_CARAFE |
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- ResNet |
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- RoIPool |
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Paper: |
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URL: https://arxiv.org/abs/1905.02188 |
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Title: 'CARAFE: Content-Aware ReAssembly of FEatures' |
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README: configs/carafe/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.12.0/mmdet/models/necks/fpn_carafe.py#L11 |
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Version: v2.12.0 |
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Models: |
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- Name: faster_rcnn_r50_fpn_carafe_1x_coco |
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In Collection: CARAFE |
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Config: configs/carafe/faster_rcnn_r50_fpn_carafe_1x_coco.py |
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Metadata: |
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Training Memory (GB): 4.26 |
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Epochs: 12 |
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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: 38.6 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 38.6 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/carafe/faster_rcnn_r50_fpn_carafe_1x_coco/faster_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.386_20200504_175733-385a75b7.pth |
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- Name: mask_rcnn_r50_fpn_carafe_1x_coco |
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In Collection: CARAFE |
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Config: configs/carafe/mask_rcnn_r50_fpn_carafe_1x_coco.py |
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Metadata: |
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Training Memory (GB): 4.31 |
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Epochs: 12 |
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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: 39.3 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 35.6 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/carafe/mask_rcnn_r50_fpn_carafe_1x_coco/mask_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.393__segm_mAP-0.358_20200503_135957-8687f195.pth
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