LiDAR-based 3D object detection is crucial for various applications but often experiences performance degradation in real-world deployments due to domain shifts. While most studies focus on ...
THT-Net: A Novel Object Tracking Model Based on Global-Local Transformer Hashing and Tensor Analysis
Abstract: The object point clouds acquired by the original LiDAR are inherently sparse and incomplete, resulting in suboptimal single object tracking (SOT) precision for 3D bounding boxes, especially ...
Abstract: Estimating the poses of new objects is a challenging problem. Although many methods have been developed for instance-level object pose estimation, they often struggle when faced with ...
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