|
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 |
|
|