Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

7 October 2021

Sheng Liu

Papers citing "Adaptive Early-Learning Correction for Segmentation from Noisy Annotations"

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Title
Segmentation with Noisy Labels via Spatially Correlated Distributions Ryu Tadokoro Tsukasa Takagi Shin-ichi Maeda 19 0 0 21 Apr 2025
LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives Yuan Gao Shaobo Xia P. Wang Xiaohuan Xi Sheng Nie Cheng-Xiang Wang 42 0 0 24 Mar 2025
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation Lexin Fang Yunyang Xu Xiang Ma Xuemei Li Caiming Zhang 41 0 0 14 Mar 2025
FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis Nannan Wu Zengqiang Yan Nong Sang Li Yu Chang Wen Chen 43 0 0 13 Mar 2025
DiffEGG: Diffusion-Driven Edge Generation as a Pixel-Annotation-Free Alternative for Instance Annotation Sanghyun Jo Ziseok Lee Wooyeol Lee Kyungsu Kim 31 0 0 11 Mar 2025
TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracy Juan Miguel Valverde Motoya Koga Nijihiko Otsuka Anders Bjorholm Dahl 28 0 0 05 Mar 2025
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels Erjian Guo Zicheng Wang Zhen Zhao Luping Zhou NoLa 57 0 0 12 Jan 2025
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic Segmentation Ye Du Zehua Fu Qingjie Liu 23 1 0 04 Aug 2024
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness Yangyang Xiang Nannan Wu Li Yu Xin Yang Kwang-Ting Cheng Zengqiang Yan FedML 14 0 0 02 Jul 2024
Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation Junsung Park Hyunjung Shim 27 0 0 28 Jun 2024
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation Pengyu Jie Wanquan Liu Chenqiang Gao Yihui Wen Rui He Pengcheng Li Jintao Zhang Deyu Meng 16 0 0 30 May 2024
Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels Guozhang Liu Ting Liu Mengke Yuan Tao Pang Guangxing Yang Hao Fu Tao Wang Tongkui Liao NoLa 27 1 0 15 May 2024
High-order Neighborhoods Know More: HyperGraph Learning Meets Source-free Unsupervised Domain Adaptation Jinkun Jiang Qingxuan Lv Yuezun Li Yong Du Sheng Chen Hui Yu Junyu Dong 26 0 0 11 May 2024
CNN-based explanation ensembling for dataset, representation and explanations evaluation Weronika Hryniewska-Guzik Luca Longo P. Biecek FAtt 39 0 0 16 Apr 2024
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation Sang-Kee Jo Fei Pan In-Jae Yu Kyungsu Kim 19 2 0 30 Mar 2024
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation Yuanchen Wu Xichen Ye Kequan Yang Jide Li Xiaoqiang Li 42 9 0 17 Mar 2024
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation Chenying Liu C. Albrecht Yi Wang Qingyu Li Xiao Xiang Zhu VLM 20 8 0 03 Mar 2024
Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation Xinyu Yang Hossein Rahmani Sue Black Bryan M. Williams 24 2 0 27 Feb 2024
ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation Y. Liu L. Lin K. Wong X. Tang 14 0 0 25 Jan 2024
Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels Seungho Lee Seoungyoon Kang Hyunjung Shim ViT VLM 22 0 0 23 Jan 2024
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation Shenwang Jiang Jianan Li Ying Wang Wenxuan Wu Jizhou Zhang Bo Huang Tingfa Xu VLM 16 4 0 22 Jan 2024
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise Nannan Wu Zhaobin Sun Zengqiang Yan Li Yu FedML 14 3 0 20 Dec 2023
Clean Label Disentangling for Medical Image Segmentation with Noisy Labels Zicheng Wang Zhen Zhao Erjian Guo Luping Zhou 8 1 0 28 Nov 2023
Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation Ryota Yoshihashi Yuya Otsuka Kenji Doi Tomohiro Tanaka Hirokatsu Kataoka 21 0 0 04 Sep 2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang Tianyu Wang Xiao Hu Chi-Wing Fu NoLa 46 13 0 23 Aug 2023
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation Lei Zhu Hangzhou He Xinliang Zhang Qian Chen Shuang Zeng Qiu-Ping Ren Yanye Lu 13 1 0 09 Aug 2023
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions Wenjie Xuan Shanshan Zhao Yu Yao Juhua Liu Tongliang Liu Yixin Chen Bo Du Dacheng Tao NoLa 21 6 0 26 Jul 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiacheng Yao Yikai Zhang Songzhu Zheng Mayank Goswami Prateek Prasanna Chao Chen 23 15 0 21 Jul 2023
Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels Hui-Sung Kang Sheng Liu Huaxi Huang Jun Yu Bo Han Dadong Wang Tongliang Liu NoLa 9 4 0 11 Jul 2023
Robust T-Loss for Medical Image Segmentation Alvaro Gonzalez-Jimenez Simone Lionetti Philippe Gottfrois Fabian Gröger M. Pouly A. Navarini OOD 8 10 0 01 Jun 2023
P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors L. David Hélio Pedrini Z. Dias GAN 19 1 0 21 May 2023
Compensation Learning in Semantic Segmentation Timo Kaiser Christoph Reinders Bodo Rosenhahn NoLa 12 3 0 26 Apr 2023
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation Sang-Kee Jo In-Jae Yu Kyungsu Kim 11 16 0 19 Apr 2023
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification Youngwook Kim Jae Myung Kim Ji-Eun Jeong Cordelia Schmid Zeynep Akata Jungwook Lee 19 7 0 04 Apr 2023
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation Nazmul Karim Niluthpol Chowdhury Mithun Abhinav Rajvanshi Han-Pang Chiu S. Samarasekera Nazanin Rahnavard TTA 15 56 0 30 Mar 2023
Adaptive Superpixel for Active Learning in Semantic Segmentation Ho-Joong Kim Minhyeon Oh S. Hwang Suha Kwak Jungseul Ok 14 12 0 29 Mar 2023
Fairness Improves Learning from Noisily Labeled Long-Tailed Data Jiaheng Wei Zhaowei Zhu Gang Niu Tongliang Liu Sijia Liu Masashi Sugiyama Yang Liu 19 6 0 22 Mar 2023
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels Huaxi Huang Hui-Sung Kang Sheng Liu Olivier Salvado Thierry Rakotoarivelo Dadong Wang Tongliang Liu NoLa 20 7 0 07 Dec 2022
Robust Training for Speaker Verification against Noisy Labels Zhihua Fang Liang He Hanhan Ma Xiao-Min Guo Lin Li NoLa 6 3 0 22 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 12 19 0 20 Nov 2022
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning Kangning Liu Weicheng Zhu Yiqiu Shen Sheng Liu N. Razavian Krzysztof J. Geras C. Fernandez‐Granda SSL 22 24 0 17 Oct 2022
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images Marawan Elbatel Christina Bornberg Manasi Kattel E. Almar Claudio Marrocco Alessandro Bria 8 3 0 05 Aug 2022
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 6 77 0 04 Jul 2022
To Aggregate or Not? Learning with Separate Noisy Labels Jiaheng Wei Zhaowei Zhu Tianyi Luo Ehsan Amid Abhishek Kumar Yang Liu NoLa 17 37 0 14 Jun 2022
RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks Sang-Kee Jo In-Jae Yu Kyungsu Kim 22 4 0 14 Apr 2022
Robust Training under Label Noise by Over-parameterization Sheng Liu Zhihui Zhu Qing Qu Chong You NoLa OOD 6 105 0 28 Feb 2022
Negative Evidence Matters in Interpretable Histology Image Classification Soufiane Belharbi M. Pedersoli Ismail Ben Ayed Luke McCaffrey Eric Granger 11 11 0 07 Jan 2022
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 211 739 0 28 Mar 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 243 1,476 0 30 Nov 2016