3d object detection

Point2Seq: Detecting 3D Objects As Sequences CVPR 2022 Point Cloud Pre-Training With Natural 3D Structures CVPR 2022 Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training NeurIPS 2022 Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection NeurIPS 2022 Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving CVPR 2022 RBGNet: Ray-Based Grouping for 3D Object Detection CVPR 2022 Representation Learning for Object Detection from Unlabeled Point Cloud Sequences CoRL 2022 Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task CVPR 2022 SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection AAAI 2022 SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds AAAI 2022 Self-Supervised Pretraining for Large-Scale Point Clouds NeurIPS 2022 Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection NeurIPS 2022 Sparse Fuse Dense: Towards High Quality 3D Detection With Depth Completion CVPR 2022 Spatial Pruned Sparse Convolution for Efficient 3D Object Detection NeurIPS 2022 SS3D: Sparsely-Supervised 3D Object Detection From Point Cloud CVPR 2022 Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection AAAI 2022 STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes CVPR 2022 Stereo Neural Vernier Caliper AAAI 2022 SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds AAAI 2022 Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving CVPR 2022 Towards Efficient 3D Object Detection with Knowledge Distillation NeurIPS 2022 Towards Long-Tailed 3D Detection CoRL 2022 TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection With Transformers CVPR 2022 Unifying Voxel-based Representation with Transformer for 3D Object Detection NeurIPS 2022 Unsupervised Adaptation from Repeated Traversals for Autonomous Driving NeurIPS 2022