{"total":40,"rows":[{"id":"2212.01322","title":"MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation","created":"2022-12-02","cited_by_count":178,"area":null},{"id":"2204.13132","title":"HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation","created":"2022-04-27","cited_by_count":164,"area":null},{"id":"2204.02825","title":"An Empirical Study of Remote Sensing Pretraining","created":"2022-04-06","cited_by_count":105,"area":null},{"id":"2207.09778","title":"CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation","created":"2022-07-20","cited_by_count":54,"area":null},{"id":"2312.12176","title":"All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes","created":"2023-12-19","cited_by_count":41,"area":null},{"id":"2204.02811","title":"BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation","created":"2022-04-06","cited_by_count":39,"area":null},{"id":"2304.11928","title":"Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving","created":"2023-04-24","cited_by_count":29,"area":null},{"id":"2112.00484","title":"Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding","created":"2021-12-01","cited_by_count":26,"area":null},{"id":"2308.14619","title":"Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation","created":"2023-08-28","cited_by_count":20,"area":null},{"id":"2204.02684","title":"Domain-Agnostic Prior for Transfer Semantic Segmentation","created":"2022-04-06","cited_by_count":18,"area":null},{"id":"2203.15202","title":"SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation","created":"2022-03-29","cited_by_count":17,"area":null},{"id":"2403.10001","title":"Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation","created":"2024-03-15","cited_by_count":15,"area":null},{"id":"2108.01343","title":"I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection","created":"2021-08-03","cited_by_count":14,"area":null},{"id":"2405.19899","title":"Open-Set Domain Adaptation for Semantic Segmentation","created":"2024-05-30","cited_by_count":13,"area":null},{"id":"2304.04672","title":"Deep Image Matting: A Comprehensive Survey","created":"2023-04-10","cited_by_count":12,"area":null},{"id":"2204.09931","title":"Learning to Purification for Unsupervised Person Re-identification","created":"2022-04-21","cited_by_count":11,"area":null},{"id":"2304.12122","title":"Augmentation-based Domain Generalization for Semantic Segmentation","created":"2023-04-24","cited_by_count":10,"area":null},{"id":"2204.11891","title":"ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer","created":"2022-04-25","cited_by_count":9,"area":null},{"id":"2303.09779","title":"Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation","created":"2023-03-17","cited_by_count":8,"area":null},{"id":"2111.06021","title":"Probabilistic Contrastive Learning for Domain Adaptation","created":"2021-11-11","cited_by_count":7,"area":null},{"id":"2205.15781","title":"Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models","created":"2022-05-31","cited_by_count":7,"area":null},{"id":"2208.10716","title":"Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation","created":"2022-08-23","cited_by_count":6,"area":null},{"id":"2311.13254","title":"Unified Domain Adaptive Semantic Segmentation","created":"2023-11-22","cited_by_count":6,"area":null},{"id":"2208.06100","title":"Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation","created":"2022-08-12","cited_by_count":4,"area":null},{"id":"2302.06992","title":"Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation","created":"2023-02-14","cited_by_count":4,"area":null},{"id":"2505.07691","title":"Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation","created":"2025-05-12","cited_by_count":4,"area":null},{"id":"2312.06331","title":"Semantic Connectivity-Driven Pseudo-labeling for Cross-domain Segmentation","created":"2023-12-11","cited_by_count":3,"area":null},{"id":"2407.01327","title":"Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks","created":"2024-07-01","cited_by_count":3,"area":null},{"id":"2504.09814","title":"DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation","created":"2025-04-14","cited_by_count":3,"area":null},{"id":"2110.07920","title":"Content Preserving Image Translation with Texture Co-occurrence and Spatial Self-Similarity for Texture Debiasing and Domain Adaptation","created":"2021-10-15","cited_by_count":2,"area":null},{"id":"2204.06747","title":"Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation","created":"2022-04-14","cited_by_count":1,"area":null},{"id":"2210.02991","title":"Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline","created":"2022-10-06","cited_by_count":1,"area":null},{"id":"2307.14179","title":"Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks","created":"2023-07-26","cited_by_count":1,"area":null},{"id":"2405.09682","title":"UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation","created":"2024-05-15","cited_by_count":1,"area":null},{"id":"2406.18809","title":"Divide, Ensemble and Conquer: The Last Mile on Unsupervised Domain Adaptation for Semantic Segmentation","created":"2024-06-27","cited_by_count":1,"area":null},{"id":"2409.15813","title":"Layer-wise Model Merging for Unsupervised Domain Adaptation in Segmentation Tasks","created":"2024-09-24","cited_by_count":1,"area":null},{"id":"2412.16592","title":"Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances","created":"2024-12-21","cited_by_count":1,"area":null},{"id":"2501.09040","title":"Pseudolabel guided pixels contrast for domain adaptive semantic segmentation","created":"2025-01-15","cited_by_count":1,"area":null},{"id":"2403.03854","title":"ECAP: Extensive Cut-and-Paste Augmentation for Unsupervised Domain Adaptive Semantic Segmentation","created":"2024-03-06","cited_by_count":0,"area":null},{"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}],"next_cursor":null}