3d semantic segmentation

Incremental 3D Semantic Scene Graph Prediction From RGB Sequences CVPR 2023 LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs CVPR 2023 LinK: Linear Kernel for LiDAR-Based 3D Perception CVPR 2023 Long Range Pooling for 3D Large-Scale Scene Understanding CVPR 2023 MSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving CVPR 2023 Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation ICCV 2023 Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation AAAI 2023 OpenScene: 3D Scene Understanding With Open Vocabularies CVPR 2023 PLA: Language-Driven Open-Vocabulary 3D Scene Understanding CVPR 2023 RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving CVPR 2023 Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss CVPR 2023 Semantic Scene Completion With Cleaner Self CVPR 2023 Spherical Transformer for LiDAR-Based 3D Recognition CVPR 2023 VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion CVPR 2023 You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation ICCV 2023 A Unified Query-Based Paradigm for Point Cloud Understanding CVPR 2022 CodedVTR: Codebook-Based Sparse Voxel Transformer With Geometric Guidance CVPR 2022 Fast Point Transformer CVPR 2022 HyperSegNAS: Bridging One-Shot Neural Architecture Search With 3D Medical Image Segmentation Using HyperNet CVPR 2022 Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data CVPR 2022 Learning Multi-View Aggregation in the Wild for Large-Scale 3D Semantic Segmentation CVPR 2022 MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation CVPR 2022 PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies NeurIPS 2022 Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation CVPR 2022 3D-to-2D Distillation for Indoor Scene Parsing CVPR 2021