{"total":44,"rows":[{"id":"2204.01446","title":"WildNet: Learning Domain Generalized Semantic Segmentation from the Wild","created":"2022-04-04","cited_by_count":76,"area":null},{"id":"2206.08009","title":"Balancing Discriminability and Transferability for Source-Free Domain Adaptation","created":"2022-06-16","cited_by_count":58,"area":null},{"id":"2204.03609","title":"Pin the Memory: Learning to Generalize Semantic Segmentation","created":"2022-04-07","cited_by_count":49,"area":null},{"id":"2202.13670","title":"FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving","created":"2022-02-28","cited_by_count":41,"area":null},{"id":"2211.07609","title":"PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation","created":"2022-11-14","cited_by_count":41,"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":"2205.00858","title":"Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation","created":"2022-05-02","cited_by_count":40,"area":null},{"id":"2209.07695","title":"Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation","created":"2022-09-16","cited_by_count":31,"area":null},{"id":"2107.13137","title":"Unsupervised Monocular Depth Estimation in Highly Complex Environments","created":"2021-07-28","cited_by_count":28,"area":null},{"id":"2302.06378","title":"Semantic Image Segmentation: Two Decades of Research","created":"2023-02-13","cited_by_count":27,"area":null},{"id":"2309.00844","title":"Domain Generalization via Balancing Training Difficulty and Model Capability","created":"2023-09-02","cited_by_count":20,"area":null},{"id":"2112.03241","title":"Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey","created":"2021-12-06","cited_by_count":19,"area":null},{"id":"2204.07964","title":"Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection","created":"2022-04-17","cited_by_count":14,"area":null},{"id":"2204.11667","title":"Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation","created":"2022-04-25","cited_by_count":12,"area":null},{"id":"2304.02431","title":"MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection","created":"2023-04-05","cited_by_count":12,"area":null},{"id":"2211.15235","title":"Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation","created":"2022-11-28","cited_by_count":10,"area":null},{"id":"2210.07016","title":"Learning with Style: Continual Semantic Segmentation Across Tasks and Domains","created":"2022-10-13","cited_by_count":9,"area":null},{"id":"2405.00749","title":"More is Better: Deep Domain Adaptation with Multiple Sources","created":"2024-05-01","cited_by_count":9,"area":null},{"id":"2404.14956","title":"DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions","created":"2024-04-23","cited_by_count":8,"area":null},{"id":"2406.06813","title":"Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation","created":"2024-06-10","cited_by_count":8,"area":null},{"id":"2408.16469","title":"Multi-source Domain Adaptation for Panoramic Semantic Segmentation","created":"2024-08-29","cited_by_count":8,"area":null},{"id":"2204.02111","title":"Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation","created":"2022-04-05","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":"2211.10119","title":"Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance","created":"2022-11-18","cited_by_count":7,"area":null},{"id":"2106.07283","title":"Attention-based Domain Adaptation for Single Stage Detectors","created":"2021-06-14","cited_by_count":6,"area":null},{"id":"2201.10747","title":"Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution","created":"2022-01-26","cited_by_count":6,"area":null},{"id":"2203.10395","title":"Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning","created":"2022-03-19","cited_by_count":6,"area":null},{"id":"2208.13121","title":"Delving into the Continuous Domain Adaptation","created":"2022-08-28","cited_by_count":6,"area":null},{"id":"2305.09893","title":"Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images","created":"2023-05-17","cited_by_count":6,"area":null},{"id":"2210.08170","title":"Attention Regularized Laplace Graph for Domain Adaptation","created":"2022-10-15","cited_by_count":5,"area":null},{"id":"2110.10639","title":"Semi-supervised Domain Adaptation for Semantic Segmentation","created":"2021-10-20","cited_by_count":4,"area":null},{"id":"2303.00979","title":"Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic Segmentation","created":"2023-03-02","cited_by_count":4,"area":null},{"id":"2212.02785","title":"Union-set Multi-source Model Adaptation for Semantic Segmentation","created":"2022-12-06","cited_by_count":3,"area":null},{"id":"2309.13336","title":"FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving","created":"2023-09-23","cited_by_count":3,"area":null},{"id":"2301.07634","title":"Training Semantic Segmentation on Heterogeneous Datasets","created":"2023-01-18","cited_by_count":2,"area":null},{"id":"2310.04747","title":"Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation","created":"2023-10-07","cited_by_count":2,"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":"2407.17101","title":"PiPa++: Towards Unification of Domain Adaptive Semantic Segmentation via Self-supervised Learning","created":"2024-07-24","cited_by_count":1,"area":null},{"id":"2502.06272","title":"Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation","created":"2025-02-10","cited_by_count":1,"area":null},{"id":"2401.02941","title":"Unsupervised Federated Domain Adaptation for Segmentation of MRI Images","created":"2024-01-02","cited_by_count":0,"area":null},{"id":"2404.12450","title":"Enhancing AI Diagnostics: Autonomous Lesion Masking via Semi-Supervised Deep Learning","created":"2024-04-18","cited_by_count":0,"area":null},{"id":"2507.03291","title":"Global Variational Inference Enhanced Robust Domain Adaptation","created":"2025-07-04","cited_by_count":0,"area":null},{"id":"2606.01818","title":"Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing","created":"2026-06-01","cited_by_count":0,"area":null}],"next_cursor":null}