Search Results for author:
Found 2 papers, 0 papers with code
Roadside Monocular 3D Detection via 2D Detection Prompting
Our method builds on a key insight that, compared with 3D detectors, a 2D detector is much easier to train and performs significantly better w. r. t detections on the 2D image plane.
Long-Tailed 3D Detection via 2D Late Fusion
Autonomous vehicles (AVs) must accurately detect objects from both common and rare classes for safe navigation, motivating the problem of Long-Tailed 3D Object Detection (LT3D).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
