2025
Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection
CVPR 2025poster
Active learning has emerged as a promising approach to reduce the substantial annotation burden in 3D object detection tasks, spurring several initiatives in outdoor environments. However, its application in indoor environments remains unexplored. Compared to outdoor 3D datasets, indoor datasets fac…