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1 accepted papers

2022

3D Object Detection with a Self-Supervised Lidar Scene Flow Backbone

ECCV 2022poster

"State-of-the-art lidar-based 3D object detection methods rely on supervised learning and large labeled datasets. However, annotating lidar data is resource-consuming, and depending only on supervised learning limits the applicability of trained models. Self-supervised training strategies can allevi…