Web: http://arxiv.org/abs/2205.05703

May 13, 2022, 1:10 a.m. | Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov

cs.CV updates on arXiv.org arxiv.org

While multi-class 3D detectors are needed in many robotics applications,
training them with fully labeled datasets can be expensive in labeling cost. An
alternative approach is to have targeted single-class labels on disjoint data
samples. In this paper, we are interested in training a multi-class 3D object
detection model, while using these single-class labeled data. We begin by
detailing the unique stance of our "Single-Class Supervision" (SCS) setting
with respect to related concepts such as partial supervision and semi
supervision. …

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