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README.md 1.1 kB

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  1. # YOLOX: Exceeding YOLO Series in 2021
  2. ## Introduction
  3. <!-- [ALGORITHM] -->
  4. ```latex
  5. @article{yolox2021,
  6. title={{YOLOX}: Exceeding YOLO Series in 2021},
  7. author={Ge, Zheng and Liu, Songtao and Wang, Feng and Li, Zeming and Sun, Jian},
  8. journal={arXiv preprint arXiv:2107.08430},
  9. year={2021}
  10. }
  11. ```
  12. ## Results and Models
  13. | Backbone | size | Mem (GB) | box AP | Config | Download |
  14. |:---------:|:-------:|:-------:|:-------:|:--------:|:------:|
  15. | YOLOX-Tiny | 416 | 3.6 | 31.6 | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/yolox/yolox_tiny_8x8_300e_coco.py) |[model](https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_tiny_8x8_300e_coco/yolox_tiny_8x8_300e_coco_20210806_234250-4ff3b67e.pth) &#124; [log](https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_tiny_8x8_300e_coco/yolox_tiny_8x8_300e_coco_20210806_234250.log.json) |
  16. **Note**:
  17. 1. The test score threshold is 0.001.
  18. 2. We find that the performance is unstable and may fluctuate by about 0.7 mAP. We will continue to investigate and improve it.

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