Showing 2024Show all
2 papers · 1 filter
cs.CV2024
Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps
Jiyun Jang, Mincheol Chang, Jongwon Park +1
LiDAR-based 3D object detectors have been largely utilized in various applications, including autonomous vehicles or mobile robots. However, LiDAR-based detectors often fail to ada…
cs.CV2024
Just Add $100 More: Augmenting NeRF-based Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem
Mincheol Chang, Siyeong Lee, Jinkyu Kim +1
Typical LiDAR-based 3D object detection models are trained in a supervised manner with real-world data collection, which is often imbalanced over classes (or long-tailed). To deal…