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paddle_detection/configs/dino/README.md

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+# DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
+
+## Introduction
+
+
+[DINO](https://arxiv.org/abs/2203.03605) is an object detection model based on DETR. We reproduced the model of the paper.
+
+
+## Model Zoo
+
+| Backbone |      Model      | Epochs | Box AP |                 Config                  |                                       Log                                       |                                     Download                                     |
+|:------:|:---------------:|:------:|:------:|:---------------------------------------:|:-------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|
+| R-50 | dino_r50_4scale |   12   |  49.5  | [config](./dino_r50_4scale_1x_coco.yml) | [log](https://bj.bcebos.com/v1/paddledet/logs/dino_r50_4scale_1x_coco_49.5.log) | [model](https://paddledet.bj.bcebos.com/models/dino_r50_4scale_1x_coco.pdparams) |
+| R-50 | dino_r50_4scale |   24   |  50.8  | [config](./dino_r50_4scale_2x_coco.yml) | [log](https://bj.bcebos.com/v1/paddledet/logs/dino_r50_4scale_2x_coco_50.8.log) | [model](https://paddledet.bj.bcebos.com/models/dino_r50_4scale_2x_coco.pdparams) |
+
+**Notes:**
+
+- DINO is trained on COCO train2017 dataset and evaluated on val2017 results of `mAP(IoU=0.5:0.95)`.
+- DINO uses 4GPU to train.
+
+GPU multi-card training
+```bash
+python -m paddle.distributed.launch --gpus 0,1,2,3 tools/train.py -c configs/dino/dino_r50_4scale_1x_coco.yml --fleet --eval
+```
+
+## Custom Operator
+- Multi-scale deformable attention custom operator see [here](../../ppdet/modeling/transformers/ext_op).
+
+## Citations
+```
+@misc{zhang2022dino,
+      title={DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection},
+      author={Hao Zhang and Feng Li and Shilong Liu and Lei Zhang and Hang Su and Jun Zhu and Lionel M. Ni and Heung-Yeung Shum},
+      year={2022},
+      eprint={2203.03605},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```