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README.md 1.2 kB

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  1. # Path Aggregation Network for Instance Segmentation
  2. ## Introduction
  3. <!-- [ALGORITHM] -->
  4. ```
  5. @inproceedings{liu2018path,
  6. author = {Shu Liu and
  7. Lu Qi and
  8. Haifang Qin and
  9. Jianping Shi and
  10. Jiaya Jia},
  11. title = {Path Aggregation Network for Instance Segmentation},
  12. booktitle = {Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  13. year = {2018}
  14. }
  15. ```
  16. ## Results and Models
  17. ## Results and Models
  18. | Backbone | style | Lr schd | Mem (GB) | Inf time (fps) | box AP | mask AP | Config | Download |
  19. |:-------------:|:----------:|:-------:|:--------:|:--------------:|:------:|:-------:|:------:|:--------:|
  20. | R-50-FPN | pytorch | 1x | 4.0 | 17.2 | 37.5 | | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/pafpn/faster_rcnn_r50_pafpn_1x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/pafpn/faster_rcnn_r50_pafpn_1x_coco/faster_rcnn_r50_pafpn_1x_coco_bbox_mAP-0.375_20200503_105836-b7b4b9bd.pth) &#124; [log](https://download.openmmlab.com/mmdetection/v2.0/pafpn/faster_rcnn_r50_pafpn_1x_coco/faster_rcnn_r50_pafpn_1x_coco_20200503_105836.log.json) |

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