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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
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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