• Corpus ID: 235731535

Test-Time Personalization with a Transformer for Human Pose Estimation

@inproceedings{Hao2021TestTimePW,
  title={Test-Time Personalization with a Transformer for Human Pose Estimation},
  author={Miao Hao and Yizhuo Li and Zonglin Di and Nitesh B. Gundavarapu and Xiaolong Wang},
  booktitle={Neural Information Processing Systems},
  year={2021}
}
We propose to personalize a 2D human pose estimator given a set of test images of a person without using any manual annotations. While there is a significant advancement in human pose estimation, it is still very challenging for a model to generalize to different unknown environments and unseen persons. Instead of using a fixed model for every test case, we adapt our pose estimator during test time to exploit person-specific information. We first train our model on diverse data with both a… 

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