OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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100 lines
3.5 KiB
100 lines
3.5 KiB
Collections: |
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- Name: QueryInst |
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Metadata: |
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Training Data: COCO |
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Training Techniques: |
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- AdamW |
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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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- ResNet |
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- QueryInst |
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Paper: |
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URL: https://openaccess.thecvf.com/content/ICCV2021/papers/Fang_Instances_As_Queries_ICCV_2021_paper.pdf |
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Title: 'Instances as Queries' |
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README: configs/queryinst/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/master/mmdet/models/detectors/queryinst.py |
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Version: v2.18.0 |
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Models: |
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- Name: queryinst_r50_fpn_1x_coco |
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In Collection: QueryInst |
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Config: configs/queryinst/queryinst_r50_fpn_1x_coco.py |
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Metadata: |
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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: 42.0 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 37.5 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r50_fpn_1x_coco/queryinst_r50_fpn_1x_coco_20210907_084916-5a8f1998.pth |
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- Name: queryinst_r50_fpn_mstrain_480-800_3x_coco |
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In Collection: QueryInst |
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Config: configs/queryinst/queryinst_r50_fpn_mstrain_480-800_3x_coco.py |
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Metadata: |
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Epochs: 36 |
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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: 44.8 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 39.8 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r50_fpn_mstrain_480-800_3x_coco/queryinst_r50_fpn_mstrain_480-800_3x_coco_20210901_103643-7837af86.pth |
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- Name: queryinst_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco |
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In Collection: QueryInst |
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Config: configs/queryinst/queryinst_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py |
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Metadata: |
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Epochs: 36 |
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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: 47.5 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 41.7 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco/queryinst_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco_20210904_101802-85cffbd8.pth |
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- Name: queryinst_r101_fpn_mstrain_480-800_3x_coco |
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In Collection: QueryInst |
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Config: configs/queryinst/queryinst_r101_fpn_mstrain_480-800_3x_coco.py |
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Metadata: |
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Epochs: 36 |
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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: 46.4 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 41.0 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r101_fpn_mstrain_480-800_3x_coco/queryinst_r101_fpn_mstrain_480-800_3x_coco_20210904_104048-91f9995b.pth |
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- Name: queryinst_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco |
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In Collection: QueryInst |
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Config: configs/queryinst/queryinst_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py |
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Metadata: |
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Epochs: 36 |
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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: 49.0 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 42.9 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco/queryinst_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco_20210904_153621-76cce59f.pth
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