Adaptive Integration of Partial Label Learning and Negative Learning for
Enhanced Noisy Label Learning

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning

15 December 2023

Yazhou Yao

Papers citing "Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning"

12 / 12 papers shown

Title
Exploring Video-Based Driver Activity Recognition under Noisy Labels Linjuan Fan Di Wen Kunyu Peng Kailun Yang J. Zhang ... Yufan Chen Junwei Zheng Jiamin Wu Xudong Han Rainer Stiefelhagen NoLa 47 0 0 16 Apr 2025
Efficient Token Compression for Vision Transformer with Spatial Information Preserved Junzhu Mao Yang Shen Jinyang Guo Yazhou Yao Xiansheng Hua ViT 33 0 0 30 Mar 2025
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning Hanxuan Wang Na Lu Xueying Zhao Yuxuan Yan Kaipeng Ma Kwoh Chee Keong Gustavo Carneiro NoLa 56 0 0 22 Feb 2025
NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries Tao Wu Chuhao Zhou Yen Heng Wong Lin Gu Jianfei Yang 81 1 0 14 Dec 2024
Relating CNN-Transformer Fusion Network for Change Detection Yuhao Gao Gensheng Pei Mengmeng Sheng Zeren Sun Tao Chen Yazhou Yao ViT 31 2 0 03 Jul 2024
Foster Adaptivity and Balance in Learning with Noisy Labels Mengmeng Sheng Zeren Sun Tao Chen Shuchao Pang Yucheng Wang Yazhou Yao 29 2 0 03 Jul 2024
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation Tao Chen XiRuo Jiang Gensheng Pei Zeren Sun Yucheng Wang Yazhou Yao 44 8 0 03 Jul 2024
A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images Wang Zhang Tingting Li Yuntian Zhang Gensheng Pei XiRuo Jiang Yazhou Yao 38 0 0 30 Apr 2024
Group Benefits Instances Selection for Data Purification Zhenhuang Cai Chuanyi Zhang Dan Huang Yuanbo Chen Xiuyun Guan Yazhou Yao NoLa 45 0 0 23 Mar 2024
Decompositional Generation Process for Instance-Dependent Partial Label Learning Congyu Qiao Ning Xu Xin Geng 118 75 0 08 Apr 2022
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 214 508 0 15 Jan 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 305 497 0 05 Mar 2020