• Corpus ID: 239050352

Self-Supervision and Spatial-Sequential Attention Based Loss for Multi-Person Pose Estimation

@article{Liu2021SelfSupervisionAS,
  title={Self-Supervision and Spatial-Sequential Attention Based Loss for Multi-Person Pose Estimation},
  author={Haiyang Liu and Dingli Luo and Songlin Du and Takeshi Ikenaga},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.10734}
}
Bottom-up based multi-person pose estimation approaches use heatmaps with auxiliary predictions to estimate joints positions and belonging at one time. Recently, various combinations between auxiliary predictions and heatmaps have been proposed for higher performance, these predictions are supervised by the corresponding L2 loss function directly. However, the lack of more explicit supervision results in low features utilization and contradictions between predictions in one model. To solve… 

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