Rethinking Self-training for Semi-supervised Landmark Detection: A
Selection-free Approach

Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach

6 April 2024

Hao Chen

Papers citing "Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach"

6 / 6 papers shown

Title
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 290 7,434 0 11 Nov 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 221 862 0 15 Oct 2021
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation Zhengxiong Luo Zhicheng Wang Yan Huang T. Tan Erjin Zhou 113 141 0 30 Dec 2020
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild Haibo Jin Shengcai Liao Ling Shao CVBM 59 122 0 08 Mar 2020
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 190 3,527 0 20 Aug 2019
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 237 75,770 0 18 May 2015