Abstract: Monocular 3D object detection has gained considerable attention because of its cost-effectiveness and practical applicability, particularly in autonomous driving and robotics. Most of ...

Abstract: Pseudo points offer dimensional alignment between camera and LiDAR data for multi-modal 3D object detection. However, the pseudo points are irregularly and densely distributed, while LiDAR ...

ResDet3D is a 3D object detection system that uses multi-view images to generate pseudo point clouds via Depth Anything 3 (DA3), then applies teacher-student feature alignment for domain adaptation.

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...

This is a novel average precision calculation named hybrid N-point interpolation method to eliminate the average precision distortion in KITTI 3D Object Detection Benchmark.