NGC: A Unified Framework for Learning with Open-World Noisy Data

25 August 2021

Yu-Feng Li

Papers citing "NGC: A Unified Framework for Learning with Open-World Noisy Data"

50 / 55 papers shown

Title
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images Han Li Hu Han S.Kevin Zhou 73 0 0 24 May 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 252 0 0 16 Mar 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection Yue Hou He Zhu Ruomei Liu Yingke Su Jinxiang Xia Junran Wu Ke Xu OODD 181 0 0 13 Mar 2025
Combating Label Noise With A General Surrogate Model For Sample Selection Chao Liang Linchao Zhu Humphrey Shi Yi Yang VLM NoLa 119 2 0 31 Dec 2024
Combating Semantic Contamination in Learning with Label Noise Wenxiao Fan Kan Li NoLa 537 0 0 16 Dec 2024
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels F. Cordeiro G. Carneiro NoLa 79 2 0 03 Nov 2024
A CLIP-Powered Framework for Robust and Generalizable Data Selection Steve Yang Peng Ye Wanli Ouyang Dongzhan Zhou Furao Shen 117 2 0 15 Oct 2024
Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future Long Chen Yuzhi Huang Junyu Dong Qi Xu Sam Kwong Huimin Lu Huchuan Lu Chongyi Li 76 3 0 08 Oct 2024
Vision-Language Models are Strong Noisy Label Detectors Tong Wei Haoyang Li Chun-Shu Li Jiang-Xin Shi Yu-Feng Li Min-Ling Zhang VLM 81 9 0 29 Sep 2024
Are We There Yet? A Brief Survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges Jaeyong Kang Dorien Herremans 82 3 0 13 Jun 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure Choubo Ding Guansong Pang OODD VLM 117 4 0 03 Jun 2024
Robust Noisy Label Learning via Two-Stream Sample Distillation Sihan Bai Sanpin Zhou Zheng Qin Le Wang Nanning Zheng NoLa 72 0 0 16 Apr 2024
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification Zhuo Li He Zhao Zhen Li Tongliang Liu Dandan Guo Xiang Wan NoLa 75 1 0 10 Apr 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 103 1 0 05 Apr 2024
$ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning$ ROG $_{PL}$ : Robust Open-Set Graph Learning via Region-Based Prototype Learning Qin Zhang Xiaowei Li Jiexin Lu Liping Qiu Shirui Pan Xiaojun Chen Junyang Chen 95 1 0 28 Feb 2024
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations Heewon Kim Hyun Sung Chang Kiho Cho Jaeyun Lee Bohyung Han NoLa 59 3 0 09 Jan 2024
Sample selection with noise rate estimation in noise learning of medical image analysis Maolin Li G. Tarroni OOD 69 0 0 23 Dec 2023
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels Wanxing Chang Ye-ling Shi Jingya Wang OT 82 12 0 11 Dec 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 111 2 0 25 Oct 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition Xiaoshuai Song Yutao Mou Keqing He Yueyan Qiu Pei Wang Weiran Xu 81 2 0 16 Oct 2023
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes Yulei Qin Xingyu Chen Yunhang Shen Chaoyou Fu Yun Gu Ke Li Xing Sun Rongrong Ji 111 3 0 15 Oct 2023
Towards Robust Few-shot Point Cloud Semantic Segmentation Yating Xu Na Zhao Gim Hee Lee 3DPC 51 3 0 20 Sep 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples Suqin Yuan Lei Feng Tongliang Liu NoLa 67 13 0 26 Aug 2023
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels Mingcai Chen Yuntao Du Wei Tang Baoming Zhang Hao Cheng Shuwei Qian Chongjun Wang NoLa 91 2 0 31 Jul 2023
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples Shuo He Lei Feng Guowu Yang 70 1 0 02 Jul 2023
Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy Label Learning Wenhai Wan Xinrui Wang Ming-Kun Xie Shao-Yuan Li Sheng-Jun Huang Songcan Chen 87 8 0 07 May 2023
Unsupervised Facial Expression Representation Learning with Contrastive Local Warping Fanglei Xue Yifan Sun Yi Yang CVBM 62 6 0 16 Mar 2023
Background Matters: Enhancing Out-of-distribution Detection with Domain Features Choubo Ding Guansong Pang Chunhua Shen OODD 18 0 0 15 Mar 2023
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition Jun Cen Di Luan Shiwei Zhang Yixuan Pei Yingya Zhang Deli Zhao Shaojie Shen Qifeng Chen 74 20 0 08 Feb 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data Jang-Hyun Kim Sangdoo Yun Hyun Oh Song 85 19 0 29 Jan 2023
Class Prototype-based Cleaner for Label Noise Learning Jingjia Huang Yuanqi Chen Jiashi Feng Xinglong Wu NoLa SSL 57 0 0 21 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin Xingyu Chen Chao Chen Yunhang Shen Bohan Ren Yun Gu Jie Yang Chunhua Shen 101 4 0 01 Dec 2022
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective Yao Zhu YueFeng Chen Xiaodan Li Rong Zhang Hui Xue Xiang Tian Rongxin Jiang Bo Zheng Yao-wu Chen OODD 70 8 0 30 Nov 2022
Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning Chenkang Zhang Lei Luo Bin Gu 75 4 0 19 Nov 2022
Learning with Noisy Labels over Imbalanced Subpopulations Mingcai Chen Yu Zhao Bing He Zongbo Han Bingzhe Wu Jianhua Yao 76 10 0 16 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection Yixin Liu Kaize Ding Huan Liu Shirui Pan 98 60 0 08 Nov 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 99 10 0 21 Oct 2022
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels Brandon Smart G. Carneiro NoLa 76 11 0 17 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 92 4 0 11 Oct 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery Xinwei Zhang Jianwen Jiang Yutong Feng Zhi-Fan Wu Xibin Zhao Hai Wan Mingqian Tang Rong Jin Yue Gao CLL 80 31 0 09 Oct 2022
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection Hangjie Yuan Jianwen Jiang Samuel Albanie Tao Feng Ziyuan Huang Dong Ni Mingqian Tang VLM 112 55 0 05 Sep 2022
Neighborhood Collective Estimation for Noisy Label Identification and Correction Jichang Li Guanbin Li Feng Liu Yizhou Yu NoLa 58 30 0 05 Aug 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 147 43 0 04 Aug 2022
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels Kaidi Wang Xiang Peng Shuo Yang Jianfei Yang Zheng Hua Zhu Xinchao Wang Yang You NoLa 73 8 0 30 Apr 2022
ViM: Out-Of-Distribution with Virtual-logit Matching Haoqi Wang Zhizhong Li Xue Jiang Wayne Zhang OODD 123 343 0 21 Mar 2022
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li Xiaobo Xia Shiming Ge Tongliang Liu NoLa 92 179 0 08 Mar 2022
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification Yuanhong Chen Fengbei Liu Hu Wang Chong Wang Yu Tian Yuyuan Liu G. Carneiro NoLa 135 8 0 03 Mar 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise Yuyin Zhou Xianhang Li Fengze Liu Qingyue Wei Xuxi Chen Lequan Yu Cihang Xie M. Lungren Lei Xing NoLa 97 3 0 09 Feb 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen Jiaqi Zhao VLM 144 31 0 22 Jan 2022
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels Wenkai Chen Chuang Zhu Yi Chen Mengting Li Tiejun Huang NoLa 83 12 0 02 Dec 2021