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KRRNet

paper: https://ieeexplore.ieee.org/document/10218322

1: python gen_coco_extreme_points.py

2: train

Email: [email protected]

Citation:

@ARTICLE{10218322, author={Wang, Yinyuan and Du, Haowen and Cheng, Zhuo and Gao, Changxin and Wei, LongSheng and Fang, Bin and Xiao, Fei and Luo, Dapeng}, journal={IEEE Transactions on Circuits and Systems for Video Technology}, title={KRRNet: Keypoint Relational Regression Network for Bottom-up Anchor-free Object Detection}, year={2023}, volume={}, number={}, pages={1-1}, keywords={Feature extraction;Detectors;Object detection;Proposals;Shape;Semantics;Clutter;Anchor-free detection;object keypoints;relational regression head;random background sampling}, doi={10.1109/TCSVT.2023.3305289}}

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