BalanceHRNet: An effective network for bottom-up human pose estimation

Author:

Li Yaoping,Jia Shuangcheng,Li Qian

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference36 articles.

1. OpenPose: Realtime multi-person 2D pose estimation using part affinity fields;Cao;IEEE Transactions on Pattern Analysis and Machine Intelligence,2021

2. Deep attention aware feature learning for person re-identification;Chen;Pattern Recognition,2022

3. Cheng, B., Xiao, B., Wang, J., Shi, H., & Zhang, L. (2020). HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation. In 2020 IEEE/CVF conference on computer vision and pattern recognition.

4. Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., et al. (2021). An Image is Worth 16 × 16 Words: Transformers for Image Recognition at Scale. In International conference on learning representations.

5. Fang, H. S., Xie, S., Tai, Y. W., & Lu, C. (2017). RMPE: Regional Multi-person Pose Estimation. In 2017 IEEE international conference on computer vision.

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