{"total":64,"rows":[{"id":"2410.10777","title":"UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation","created":"2024-10-14","cited_by_count":54,"area":null},{"id":"2306.04300","title":"CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation","created":"2023-06-07","cited_by_count":44,"area":null},{"id":"2303.01276","title":"Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation","created":"2023-03-02","cited_by_count":35,"area":null},{"id":"2403.01818","title":"AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation","created":"2024-03-04","cited_by_count":35,"area":null},{"id":"2405.00378","title":"Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation","created":"2024-05-01","cited_by_count":30,"area":null},{"id":"2310.18640","title":"Switching Temporary Teachers for Semi-Supervised Semantic Segmentation","created":"2023-10-28","cited_by_count":23,"area":"distill"},{"id":"2311.17325","title":"Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation","created":"2023-11-29","cited_by_count":22,"area":"distill"},{"id":"2406.01451","title":"SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation","created":"2024-06-03","cited_by_count":17,"area":null},{"id":"2403.06462","title":"Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation","created":"2024-03-11","cited_by_count":16,"area":null},{"id":"2302.05666","title":"Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels","created":"2023-02-11","cited_by_count":12,"area":"distill"},{"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":"2407.04036","title":"Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier","created":"2024-07-04","cited_by_count":12,"area":null},{"id":"2408.08050","title":"CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection","created":"2024-08-15","cited_by_count":12,"area":null},{"id":"2402.05589","title":"RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner","created":"2024-02-08","cited_by_count":11,"area":null},{"id":"2312.05286","title":"Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors","created":"2023-12-08","cited_by_count":9,"area":null},{"id":"2503.17914","title":"Semi-supervised Semantic Segmentation with Multi-Constraint Consistency Learning","created":"2025-03-23","cited_by_count":8,"area":null},{"id":"2405.14294","title":"Tuning-free Universally-Supervised Semantic Segmentation","created":"2024-05-23","cited_by_count":6,"area":null},{"id":"2405.20610","title":"PrevMatch: Revisiting and Maximizing Temporal Knowledge in Semi-Supervised Semantic Segmentation","created":"2024-05-31","cited_by_count":6,"area":null},{"id":"2410.10279","title":"Exploring Semi-Supervised Learning for Online Mapping","created":"2024-10-14","cited_by_count":6,"area":null},{"id":"2412.17331","title":"Uncertainty-Participation Context Consistency Learning for Semi-supervised Semantic Segmentation","created":"2024-12-23","cited_by_count":6,"area":null},{"id":"2509.16704","title":"When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation","created":"2025-09-20","cited_by_count":6,"area":null},{"id":"2308.02866","title":"NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation","created":"2023-08-05","cited_by_count":5,"area":null},{"id":"2404.16339","title":"Training-Free Unsupervised Prompt for Vision-Language Models","created":"2024-04-25","cited_by_count":5,"area":"mllm"},{"id":"2312.13440","title":"MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations","created":"2023-12-20","cited_by_count":4,"area":null},{"id":"2502.15152","title":"CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation","created":"2025-02-21","cited_by_count":4,"area":null},{"id":"2507.15803","title":"ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction","created":"2025-07-21","cited_by_count":4,"area":null},{"id":"2503.13987","title":"Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation","created":"2025-03-18","cited_by_count":3,"area":null},{"id":"2506.05917","title":"Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness","created":"2025-06-06","cited_by_count":3,"area":null},{"id":"2508.12409","title":"S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing","created":"2025-08-17","cited_by_count":3,"area":null},{"id":"2308.11903","title":"Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation","created":"2023-08-23","cited_by_count":2,"area":null},{"id":"2311.16474","title":"Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds","created":"2023-11-27","cited_by_count":2,"area":null},{"id":"2407.12630","title":"Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation","created":"2024-07-17","cited_by_count":2,"area":null},{"id":"2407.12788","title":"SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation","created":"2024-06-17","cited_by_count":2,"area":null},{"id":"2411.07758","title":"AdaSemiCD: An Adaptive Semi-Supervised Change Detection Method Based on Pseudo-Label Evaluation","created":"2024-11-12","cited_by_count":2,"area":null},{"id":"2503.18536","title":"DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels","created":"2025-03-24","cited_by_count":2,"area":"diffusion"},{"id":"2504.09797","title":"IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme","created":"2025-04-14","cited_by_count":2,"area":null},{"id":"2507.18323","title":"SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation","created":"2025-07-24","cited_by_count":2,"area":null},{"id":"2512.06870","title":"Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective","created":"2025-12-07","cited_by_count":2,"area":null},{"id":"2311.13716","title":"DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery","created":"2023-11-22","cited_by_count":1,"area":null},{"id":"2404.02065","title":"Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation","created":"2024-04-02","cited_by_count":1,"area":null},{"id":"2503.02459","title":"Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic Segmentation","created":"2025-03-04","cited_by_count":1,"area":null},{"id":"2503.10693","title":"Knowledge Consultation for Semi-Supervised Semantic Segmentation","created":"2025-03-12","cited_by_count":1,"area":null},{"id":"2503.17672","title":"A Temporal Modeling Framework for Video Pre-Training on Video Instance Segmentation","created":"2025-03-22","cited_by_count":1,"area":null},{"id":"2505.23438","title":"Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2506.08772","title":"RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation","created":"2025-06-10","cited_by_count":1,"area":"distill"},{"id":"2511.17755","title":"CORA: Consistency-Guided Semi-Supervised Framework for Reasoning Segmentation","created":"2025-11-21","cited_by_count":1,"area":"lr"},{"id":"2603.18655","title":"Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation","created":"2026-03-19","cited_by_count":1,"area":null},{"id":"2607.08772","title":"Wat3R: Underwater 3D Geometry Learning without Annotations","created":"2026-07-09","cited_by_count":1,"area":null},{"id":"2310.05082","title":"Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation","created":"2023-10-08","cited_by_count":0,"area":null},{"id":"2311.16580","title":"Clean Label Disentangling for Medical Image Segmentation with Noisy Labels","created":"2023-11-28","cited_by_count":0,"area":null},{"id":"2411.03041","title":"Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification","created":"2024-11-05","cited_by_count":0,"area":null},{"id":"2502.00536","title":"CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation","created":"2025-02-01","cited_by_count":0,"area":null},{"id":"2503.16051","title":"Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation","created":"2025-03-20","cited_by_count":0,"area":null},{"id":"2503.23519","title":"BoundMatch: Boundary detection applied to semi-supervised segmentation","created":"2025-03-30","cited_by_count":0,"area":"distill"},{"id":"2505.15861","title":"P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation","created":"2025-05-21","cited_by_count":0,"area":null},{"id":"2507.03302","title":"Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model","created":"2025-07-04","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":"2512.01510","title":"Semantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2601.11670","title":"CoVar: Confidence-Variance-Guided Pseudo-Label Selection for Semi-Supervised Learning","created":"2026-01-16","cited_by_count":0,"area":null},{"id":"2603.06167","title":"A Semi-Supervised Framework for Breast Ultrasound Segmentation with Training-Free Pseudo-Label Generation and Label Refinement","created":"2026-03-06","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},{"id":"2605.15722","title":"Bidirectional Fusion Guided by Cardiac Patterns for Semi-Supervised ECG Segmentation","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.28239","title":"Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation","created":"2026-05-27","cited_by_count":0,"area":"synth"},{"id":"2609.23019","title":"SomaNet: Weakly Supervised Learning for Instance Soma Segmentation in 3D Electron Microscopy with Partial Annotations","created":"2026-09-19","cited_by_count":0,"area":null}],"next_cursor":null}