Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning

4 May 2023

Papers citing "Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning"

6 / 6 papers shown

Title
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery Shijie Ma Fei Zhu Xu-Yao Zhang Cheng-Lin Liu 27 1 0 02 Apr 2025
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning Yidong Wang Hao Chen Qiang Heng Wenxin Hou Yue Fan ... Marios Savvides T. Shinozaki Bhiksha Raj Bernt Schiele Xing Xie 177 251 0 15 May 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 215 861 0 15 Oct 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 203 506 0 15 Jan 2021
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 216 787 0 26 Aug 2019
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014