Aug. 29, 2022, 1:14 a.m. | Yunyao Mao, Wengang Zhou, Zhenbo Lu, Jiajun Deng, Houqiang Li

cs.CV updates on arXiv.org arxiv.org

In 3D action recognition, there exists rich complementary information between
skeleton modalities. Nevertheless, how to model and utilize this information
remains a challenging problem for self-supervised 3D action representation
learning. In this work, we formulate the cross-modal interaction as a
bidirectional knowledge distillation problem. Different from classic
distillation solutions that transfer the knowledge of a fixed and pre-trained
teacher to the student, in this work, the knowledge is continuously updated and
bidirectionally distilled between modalities. To this end, we propose …

3d arxiv cv distillation learning representation representation learning

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