2024
Active Learning with Core-Set Sampling and Scale-Sensitive Loss for 3D Object Detection
ICASSP 2024accepted
Deep learning-based 3D object detectors often require large-scale labeled 3D datasets, which can be expensive to annotate. To tackle this issue, we introduce a core-set sampling strategy within an active learning framework, selecting highly informative data from a data pool to reduce reliance on suc…