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- Collections:
- - Name: DETR
- Metadata:
- Training Data: COCO
- Training Techniques:
- - AdamW
- - Multi Scale Train
- - Gradient Clip
- Training Resources: 8x V100 GPUs
- Architecture:
- - ResNet
- - Transformer
- Paper:
- URL: https://arxiv.org/abs/2005.12872
- Title: 'End-to-End Object Detection with Transformers'
- README: configs/detr/README.md
- Code:
- URL: https://github.com/open-mmlab/mmdetection/blob/v2.7.0/mmdet/models/detectors/detr.py#L7
- Version: v2.7.0
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- Models:
- - Name: detr_r50_8x2_150e_coco
- In Collection: DETR
- Config: configs/detr/detr_r50_8x2_150e_coco.py
- Metadata:
- Training Memory (GB): 7.9
- Epochs: 150
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 40.1
- Weights: https://download.openmmlab.com/mmdetection/v2.0/detr/detr_r50_8x2_150e_coco/detr_r50_8x2_150e_coco_20201130_194835-2c4b8974.pth
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