OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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56 lines
2.1 KiB
56 lines
2.1 KiB
Collections: |
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- Name: Deformable DETR |
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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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- Multi Scale Train |
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- Gradient Clip |
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Training Resources: 8x V100 GPUs |
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Architecture: |
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- ResNet |
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- Transformer |
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Paper: |
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URL: https://openreview.net/forum?id=gZ9hCDWe6ke |
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Title: 'Deformable DETR: Deformable Transformers for End-to-End Object Detection' |
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README: configs/deformable_detr/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.12.0/mmdet/models/detectors/deformable_detr.py#L6 |
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Version: v2.12.0 |
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Models: |
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- Name: deformable_detr_r50_16x2_50e_coco |
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In Collection: Deformable DETR |
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Config: configs/deformable_detr/deformable_detr_r50_16x2_50e_coco.py |
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Metadata: |
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Epochs: 50 |
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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: 44.5 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/deformable_detr/deformable_detr_r50_16x2_50e_coco/deformable_detr_r50_16x2_50e_coco_20210419_220030-a12b9512.pth |
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- Name: deformable_detr_refine_r50_16x2_50e_coco |
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In Collection: Deformable DETR |
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Config: configs/deformable_detr/deformable_detr_refine_r50_16x2_50e_coco.py |
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Metadata: |
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Epochs: 50 |
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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: 46.1 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/deformable_detr/deformable_detr_refine_r50_16x2_50e_coco/deformable_detr_refine_r50_16x2_50e_coco_20210419_220503-5f5dff21.pth |
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- Name: deformable_detr_twostage_refine_r50_16x2_50e_coco |
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In Collection: Deformable DETR |
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Config: configs/deformable_detr/deformable_detr_twostage_refine_r50_16x2_50e_coco.py |
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Metadata: |
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Epochs: 50 |
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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: 46.8 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/deformable_detr/deformable_detr_twostage_refine_r50_16x2_50e_coco/deformable_detr_twostage_refine_r50_16x2_50e_coco_20210419_220613-9d28ab72.pth
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