Enhancing Sample Utilization through Sample Adaptive Augmentation in
Semi-Supervised Learning

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning

7 September 2023

Lei Qi

Lei Wang

Papers citing "Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning"

4 / 4 papers shown

Title
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training Huayi Zhou Mukun Luo Fei Jiang Yue Ding Hongtao Lu Kui Jia 44 0 0 18 Feb 2024
NP-Match: When Neural Processes meet Semi-Supervised Learning Jianfeng Wang Thomas Lukasiewicz Daniela Massiceti Xiaolin Hu Vladimir Pavlovic A. Neophytou BDL 63 41 0 03 Jul 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 215 848 0 15 Oct 2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training Kai Sheng Tai Peter Bailis Gregory Valiant OT 38 43 0 17 Feb 2021