AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation

3 March 2024

Xiao Xiang Zhu

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Papers citing "AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation"

24 / 24 papers shown

Title
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation Chenying Liu C. Albrecht Yi Wang Xiao Xiang Zhu 197 3 0 02 May 2024
A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction Wei Shen Zelin Peng Xuehui Wang Huayu Wang Jiazhong Cen Dongsheng Jiang Lingxi Xie Xiaokang Yang Qi Tian VLM 64 82 0 04 Jul 2022
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning C. Albrecht F. Marianno L. Klein VLM 43 12 0 31 Jan 2022
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations Jiaheng Wei Zhaowei Zhu Weiran Wang Tongliang Liu Gang Niu Yang Liu NoLa 128 253 0 22 Oct 2021
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu Kangning Liu Weicheng Zhu Yiqiu Shen C. Fernandez‐Granda NoLa 82 106 0 07 Oct 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 229 1,150 0 07 Jul 2021
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification A. Aksoy Mahdyar Ravanbakhsh Begüm Demir 52 26 0 19 Dec 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 111 987 0 16 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu Jonathan Niles-Weed N. Razavian C. Fernandez‐Granda NoLa 104 566 0 30 Jun 2020
A survey of loss functions for semantic segmentation Shruti Jadon SSeg 67 840 0 26 Jun 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 105 1,030 0 18 Feb 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking Geoff Pleiss Tianyi Zhang Ethan R. Elenberg Kilian Q. Weinberger NoLa 89 272 0 28 Jan 2020
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning Zhongling Huang C. Dumitru Zongxu Pan Bin Lei Mihai Datcu 56 87 0 06 Jan 2020
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates Yang Liu Hongyi Guo NoLa 56 239 0 08 Oct 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 142 18,134 0 28 May 2019
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 103 172 0 24 May 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels Kun Yi Jianxin Wu NoLa 68 417 0 19 Mar 2019
How does Disagreement Help Generalization against Label Corruption? Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama NoLa 65 783 0 14 Jan 2019
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images B. Damodaran Rémi Flamary Vivien Seguy Nicolas Courty NoLa 53 40 0 02 Oct 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 104 1,453 0 14 Dec 2017
Learning Aerial Image Segmentation from Online Maps Pascal Kaiser Jan Dirk Wegner Aurelien Lucchi Martin Jaggi Thomas Hofmann Konrad Schindler SSeg SSL 39 284 0 21 Jul 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 125 1,823 0 16 Jun 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 185 2,560 0 07 Oct 2016
Noise Tolerance under Risk Minimization Naresh Manwani S. M. I. P. S. Sastry NoLa 180 276 0 24 Sep 2011