{"total":51,"rows":[{"id":"2208.00223","title":"PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds","created":"2022-07-30","cited_by_count":74,"area":null},{"id":"2304.00690","title":"3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds","created":"2023-04-03","cited_by_count":46,"area":null},{"id":"2310.17504","title":"Three Pillars improving Vision Foundation Model Distillation for Lidar","created":"2023-10-26","cited_by_count":44,"area":null},{"id":"2212.04245","title":"Domain generalization of 3D semantic segmentation in autonomous driving","created":"2022-12-07","cited_by_count":25,"area":null},{"id":"2405.01538","title":"Multi-Space Alignments Towards Universal LiDAR Segmentation","created":"2024-05-02","cited_by_count":25,"area":null},{"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":"2312.15084","title":"Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning","created":"2023-12-22","cited_by_count":23,"area":null},{"id":"2303.11610","title":"Novel Class Discovery for 3D Point Cloud Semantic Segmentation","created":"2023-03-21","cited_by_count":21,"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":"2305.19812","title":"A Survey of Label-Efficient Deep Learning for 3D Point Clouds","created":"2023-05-31","cited_by_count":20,"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":"2310.08820","title":"Learning to Adapt SAM for Segmenting Cross-domain Point Clouds","created":"2023-10-13","cited_by_count":20,"area":null},{"id":"2307.07935","title":"S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality","created":"2023-07-16","cited_by_count":18,"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":"2303.14378","title":"Instant Domain Augmentation for LiDAR Semantic Segmentation","created":"2023-03-25","cited_by_count":16,"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":"2304.02991","title":"Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation","created":"2023-04-06","cited_by_count":14,"area":null},{"id":"2403.18442","title":"Backpropagation-free Network for 3D Test-time Adaptation","created":"2024-03-27","cited_by_count":14,"area":null},{"id":"2407.02286","title":"Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather","created":"2024-07-02","cited_by_count":14,"area":null},{"id":"2304.11705","title":"Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation","created":"2023-04-23","cited_by_count":13,"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":"2308.04638","title":"GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors","created":"2023-08-09","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":"2403.18469","title":"Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds","created":"2024-03-27","cited_by_count":7,"area":null},{"id":"2405.16034","title":"DiffuBox: Refining 3D Object Detection with Point Diffusion","created":"2024-05-25","cited_by_count":7,"area":null},{"id":"2304.11762","title":"You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation","created":"2023-04-23","cited_by_count":6,"area":null},{"id":"2409.04409","title":"Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation","created":"2024-09-06","cited_by_count":6,"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":"2310.16542","title":"ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception","created":"2023-10-25","cited_by_count":5,"area":null},{"id":"2308.02883","title":"Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation","created":"2023-08-05","cited_by_count":4,"area":null},{"id":"2312.03782","title":"Novel class discovery meets foundation models for 3D semantic segmentation","created":"2023-12-06","cited_by_count":4,"area":null},{"id":"2408.14253","title":"Text3DAug -- Prompted Instance Augmentation for LiDAR Perception","created":"2024-08-26","cited_by_count":4,"area":null},{"id":"2410.19446","title":"Fusion-then-Distillation: Toward Cross-modal Positive Distillation for Domain Adaptive 3D Semantic Segmentation","created":"2024-10-25","cited_by_count":4,"area":null},{"id":"2303.09219","title":"MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency","created":"2023-03-16","cited_by_count":3,"area":null},{"id":"2309.16956","title":"Model2Scene: Learning 3D Scene Representation via Contrastive Language-CAD Models Pre-training","created":"2023-09-29","cited_by_count":3,"area":null},{"id":"2502.00960","title":"SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation","created":"2025-02-02","cited_by_count":3,"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":"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":"2506.15971","title":"Heterogeneous-Modal Unsupervised Domain Adaptation via Latent Space Bridging","created":"2025-06-19","cited_by_count":2,"area":null},{"id":"2511.17455","title":"Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift","created":"2025-11-21","cited_by_count":2,"area":null},{"id":"2312.01117","title":"Paved2Paradise: Cost-Effective and Scalable LiDAR Simulation by Factoring the Real World","created":"2023-12-02","cited_by_count":1,"area":null},{"id":"2509.13172","title":"WHU-STree: A Multi-modal Benchmark Dataset for Street Tree Inventory","created":"2025-09-16","cited_by_count":1,"area":null},{"id":"2510.17875","title":"3D Weakly Supervised Semantic Segmentation via Class-Aware and Geometry-Guided Pseudo-Label Refinement","created":"2025-10-17","cited_by_count":1,"area":null},{"id":"2510.23525","title":"DPGLA: Bridging the Gap between Synthetic and Real Data for Unsupervised Domain Adaptation in 3D LiDAR Semantic Segmentation","created":"2025-10-27","cited_by_count":1,"area":null},{"id":"2601.08375","title":"Source-Free Domain Adaptation for Geospatial Point Cloud Semantic Segmentation","created":"2026-01-13","cited_by_count":1,"area":null},{"id":"2607.10762","title":"TOLiD: Bridging the Architecture Gap in Vision Foundation Model to LiDAR Pretraining via Token Lifting for Distillation","created":"2026-07-12","cited_by_count":1,"area":null},{"id":"2505.04529","title":"RAFT -- A Domain Adaptation Framework for RGB & LiDAR Semantic Segmentation","created":"2025-05-07","cited_by_count":0,"area":null},{"id":"2602.14525","title":"Cross-view Domain Generalization via Geometric Consistency for LiDAR Semantic Segmentation","created":"2026-02-16","cited_by_count":0,"area":null},{"id":"2604.19379","title":"PanDA: Unsupervised Domain Adaptation for Multimodal 3D Panoptic Segmentation in Autonomous Driving","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2604.23604","title":"Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation","created":"2026-04-26","cited_by_count":0,"area":null}],"next_cursor":null}