Removing the Bias of Integral Pose Regression
Author:
Affiliation:
1. National University of Singapore,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710231.pdf?arnumber=9710231
Reference41 articles.
1. Lift: Learned invariant feature transform;yi;ECCV,2016
2. End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation
3. Joint training of a convolutional network and a graphical model for human pose estimation;tompson,2014
4. Efficient object localization using Convolutional Networks
5. Directpose: Direct end-to-end multi-person pose estimation;tian,2019
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4. MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape Recovery;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
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