2 citations · 3 across the 5 of their papers we have counts for
5 papers
LiDAR-Anchored Collaborative Distillation for Robust 2D Representations
Wonjun Jo, Hyunwoo Ha, Kim Ji-Yeon +2
As deep learning continues to advance, self-supervised learning has made considerable strides. It allows 2D image encoders to extract useful features for various downstream tasks,…
MR-Occ: Efficient Camera-LiDAR 3D Semantic Occupancy Prediction Using Hierarchical Multi-Resolution Voxel Representation
Minjae Seong, Jisong Kim, Geonho Bang +2
Accurate 3D perception is essential for understanding the environment in autonomous driving. Recent advancements in 3D semantic occupancy prediction have leveraged camera-LiDAR fus…
UOD: Unseen Object Detection in 3D Point Cloud
Hyunjun Choi, Daeho Um, Hawook Jeong
Existing 3D object detectors encounter extreme challenges in localizing unseen 3D objects and recognizing them as unseen, which is a crucial technology in autonomous driving in the…
Optimizing Three Critical Factors for Practical and Effective OOD Detection Fine-Tuning
Hyunjun Choi, JaeHo Chung, Hawook Jeong +1
In out-of-distribution (OOD) detection, fine-tuning with auxiliary outlier data often improves detection performance at the cost of classification accuracy. This trade-off stems fr…
Balanced Energy Regularization Loss for Out-of-distribution Detection
Hyunjun Choi, Hawook Jeong, Jin Young Choi
In the field of out-of-distribution (OOD) detection, a previous method that use auxiliary data as OOD data has shown promising performance. However, the method provides an equal lo…