{"total":21,"rows":[{"id":"2404.05145","title":"UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather","created":"2024-04-08","cited_by_count":24,"area":null},{"id":"2304.03251","title":"SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation","created":"2023-04-06","cited_by_count":21,"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":"2309.11839","title":"MoPA: Multi-Modal Prior Aided Domain Adaptation for 3D Semantic Segmentation","created":"2023-09-21","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":"2309.06197","title":"360$^\\circ$ from a Single Camera: A Few-Shot Approach for LiDAR Segmentation","created":"2023-09-12","cited_by_count":12,"area":null},{"id":"2310.20293","title":"Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation","created":"2023-10-31","cited_by_count":11,"area":null},{"id":"2304.10179","title":"SCoDA: Domain Adaptive Shape Completion for Real Scans","created":"2023-04-20","cited_by_count":9,"area":null},{"id":"2502.03901","title":"LeAP: Consistent multi-domain 3D labeling using Foundation Models","created":"2025-02-06","cited_by_count":8,"area":null},{"id":"2312.12098","title":"Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains","created":"2023-12-19","cited_by_count":7,"area":null},{"id":"2309.08302","title":"T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds","created":"2023-09-15","cited_by_count":5,"area":null},{"id":"2405.10175","title":"Filling Missing Values Matters for Range Image-Based Point Cloud Segmentation","created":"2024-05-16","cited_by_count":4,"area":null},{"id":"2410.15833","title":"LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training","created":"2024-10-21","cited_by_count":4,"area":null},{"id":"2212.09517","title":"Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors","created":"2022-12-19","cited_by_count":2,"area":null},{"id":"2410.00589","title":"GERA: Geometric Embedding for Efficient Point Registration Analysis","created":"2024-10-01","cited_by_count":2,"area":null},{"id":"2505.09971","title":"APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds","created":"2025-05-15","cited_by_count":2,"area":null},{"id":"2505.03300","title":"3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation","created":"2025-05-06","cited_by_count":1,"area":null},{"id":"2201.05585","title":"Domain Adaptation in LiDAR Semantic Segmentation via Alternating Skip Connections and Hybrid Learning","created":"2022-01-14","cited_by_count":0,"area":null},{"id":"2205.11419","title":"Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation","created":"2022-05-23","cited_by_count":0,"area":null},{"id":"2210.10180","title":"Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training","created":"2022-10-18","cited_by_count":0,"area":null},{"id":"2504.01659","title":"Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks","created":"2025-04-02","cited_by_count":0,"area":null}],"next_cursor":null}