CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise

20 November 2017

Lei Zhang

Papers citing "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise"

39 / 89 papers shown

Title
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun-Xiong Xia Lirong Wu Stan Z. Li NoLa 76 116 0 05 Aug 2021
Adaptive Sample Selection for Robust Learning under Label Noise Deep Patel P. Sastry OOD NoLa 28 29 0 29 Jun 2021
Do sound event representations generalize to other audio tasks? A case study in audio transfer learning Anurag Kumar Yun Wang V. Ithapu Christian Fuegen 14 3 0 21 Jun 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent NoLa 181 53 0 19 May 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 34 103 0 10 May 2021
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 29 6 0 01 Apr 2021
Collaborative Label Correction via Entropy Thresholding Hao Wu Jiangchao Yao Jiajie Wang Yinru Chen Ya-Qin Zhang Yanfeng Wang NoLa 22 4 0 31 Mar 2021
Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning Amaia Salvador Erhan Gundogdu Loris Bazzani M. Donoser ViT 20 57 0 24 Mar 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels Yazhou Yao Zeren Sun Chuanyi Zhang Fumin Shen Qi Wu Jian Zhang Zhenmin Tang NoLa 33 133 0 24 Mar 2021
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification Fengxiang Yang Zhun Zhong Zhiming Luo Yuanzheng Cai Yaojin Lin Shaozi Li N. Sebe NoLa 27 111 0 08 Mar 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment F. Cordeiro Ragav Sachdeva Vasileios Belagiannis Ian Reid G. Carneiro NoLa 11 77 0 06 Mar 2021
DST: Data Selection and joint Training for Learning with Noisy Labels Yi Wei Xue Mei Xin Liu Pengxiang Xu NoLa 24 3 0 01 Mar 2021
Analysing the Noise Model Error for Realistic Noisy Label Data Michael A. Hedderich D. Zhu Dietrich Klakow NoLa 26 19 0 24 Jan 2021
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification Yongxing Dai Jun Liu Yan Bai Zekun Tong Ling-yu Duan 26 77 0 26 Dec 2020
Attentional-Biased Stochastic Gradient Descent Q. Qi Yi Tian Xu R. L. Jin W. Yin Tianbao Yang ODL 26 12 0 13 Dec 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 158 0 09 Nov 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph Jingkang Yang Weirong Chen Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang NoLa 25 13 0 12 Oct 2020
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 15 55 0 10 Oct 2020
Weak-shot Fine-grained Classification via Similarity Transfer Junjie Chen Li Niu Liu Liu Liqing Zhang 36 21 0 19 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes Junnan Li Caiming Xiong S. Hoi 26 94 0 17 Sep 2020
Data Cleansing with Contrastive Learning for Vocal Note Event Annotations Gabriel Meseguer-Brocal Rachel M. Bittner Simon Durand B. Brost 29 6 0 05 Aug 2020
Learning from a Complementary-label Source Domain: Theory and Algorithms Yiyang Zhang Feng Liu Zhen Fang Bo Yuan Guangquan Zhang Jie Lu 28 70 0 04 Aug 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 30 38 0 11 Jul 2020
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation D. Lu N. Polomac Iskra Gacheva E. Hattingen Jochen Triesch 18 18 0 17 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 102 0 12 Jun 2020
Deep learning approaches in food recognition C. Kiourt George Pavlidis Stella Markantonatou 8 27 0 04 Apr 2020
Adversarial Robustness on In- and Out-Distribution Improves Explainability Maximilian Augustin Alexander Meinke Matthias Hein OOD 75 98 0 20 Mar 2020
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá David Ifeoluwa Adelani Michael A. Hedderich D. Zhu Esther van den Berg Dietrich Klakow 6 11 0 18 Mar 2020
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models Karishma Sharma Pinar E. Donmez Enming Luo Yan Liu I. Z. Yalniz NoLa 60 33 0 15 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher S. Hoi ObjD NoLa 62 28 0 03 Mar 2020
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification Yixiao Ge Dapeng Chen Hongsheng Li 33 555 0 06 Jan 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 18 535 0 05 Dec 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 17 265 0 19 Aug 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels Yisen Wang Xingjun Ma Zaiyi Chen Yuan Luo Jinfeng Yi James Bailey NoLa 39 875 0 16 Aug 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 19 24 0 08 Apr 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels Kun Yi Jianxin Wu NoLa 36 409 0 19 Mar 2019
Inverse Cooking: Recipe Generation from Food Images Amaia Salvador M. Drozdzal Xavier Giró-i-Nieto Adriana Romero 23 147 0 14 Dec 2018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images Sheng Guo Weilin Huang Haozhi Zhang Chenfan Zhuang Dengke Dong Matthew R. Scott Dinglong Huang SSL 18 338 0 03 Aug 2018
Stacked Cross Attention for Image-Text Matching Kuang-Huei Lee Xi Chen G. Hua Houdong Hu Xiaodong He 18 1,140 0 21 Mar 2018