{"total":16,"rows":[{"id":"2207.06104","title":"Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification","created":"2022-07-13","cited_by_count":20,"area":null},{"id":"2403.01909","title":"Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey","created":"2024-03-04","cited_by_count":12,"area":null},{"id":"2307.14070","title":"PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions","created":"2023-07-26","cited_by_count":4,"area":null},{"id":"2211.12425","title":"Progressive Learning with Cross-Window Consistency for Semi-Supervised Semantic Segmentation","created":"2022-11-22","cited_by_count":3,"area":null},{"id":"2209.08172","title":"Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss","created":"2022-09-16","cited_by_count":2,"area":null},{"id":"2401.11738","title":"MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation","created":"2024-01-22","cited_by_count":2,"area":null},{"id":"2409.01109","title":"SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation","created":"2024-09-02","cited_by_count":2,"area":null},{"id":"2505.16625","title":"Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation","created":"2025-05-22","cited_by_count":2,"area":null},{"id":"2111.10773","title":"One-shot Weakly-Supervised Segmentation in Medical Images","created":"2021-11-21","cited_by_count":1,"area":null},{"id":"2509.02419","title":"From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation","created":"2025-09-02","cited_by_count":1,"area":null},{"id":"2208.01254","title":"A Robust Morphological Approach for Semantic Segmentation of Very High Resolution Images","created":"2022-08-02","cited_by_count":0,"area":null},{"id":"2301.10441","title":"Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection","created":"2023-01-25","cited_by_count":0,"area":null},{"id":"2507.06643","title":"Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment","created":"2025-07-09","cited_by_count":0,"area":null},{"id":"2508.12766","title":"Harnessing Group-Oriented Consistency Constraints for Semi-Supervised Semantic Segmentation in CdZnTe Semiconductors","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2601.14039","title":"Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation","created":"2026-01-20","cited_by_count":0,"area":null},{"id":"2604.22824","title":"WeatherSeg: Weather-Robust Image Segmentation using Teacher-Student Dual Learning and Classifier-Updating Attention","created":"2026-04-19","cited_by_count":0,"area":null}],"next_cursor":null}