Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human
Pose Estimation

Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human Pose Estimation

15 March 2022

Nojun Kwak

Papers citing "Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human Pose Estimation"

7 / 7 papers shown

Title
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection Jongmok Kim JooYoung Jang Seunghyeon Seo Jisoo Jeong Jongkeun Na Nojun Kwak 42 41 0 22 Nov 2021
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning Zhaowei Cai Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Zhuowen Tu Stefano Soatto 76 120 0 21 Jan 2021
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 153 3,539 0 21 Jan 2020
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 208 3,480 0 30 Sep 2019
Simple Baselines for Human Pose Estimation and Tracking Bin Xiao Haiping Wu Yichen Wei 3DH VOT 113 1,784 0 17 Apr 2018
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 112 2,997 0 07 Aug 2017
Unsupervised learning of object landmarks by factorized spatial embeddings James Thewlis Hakan Bilen Andrea Vedaldi OCL SSL 43 162 0 05 May 2017