Skeletal Spatial-Temporal Semantics Guided Homogeneous-Heterogeneous Multimodal Network for Action Recognition
Author:
Affiliation:
1. Sun Yat-Sen University & Shenzhen MSU-BIT University, Shenzhen, China
2. SIAT, Chinese Academy of Sciences, Shenzhen, China
3. Shenzhen MSU-BIT University, Shenzhen, China
Funder
Natural Science Foundation of Guangdong Province of China
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3581783.3612560
Reference54 articles.
1. STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition
2. Human Action Recognition: Pose-Based Attention Draws Focus to Hands
3. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
4. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey E . Hinton . 2020 . A Simple Framework for Contrastive Learning of Visual Representations. CoRR , Vol. abs/ 2002 .05709 (2020). [arXiv]2002.05709 https://arxiv.org/abs/2002.05709 Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. CoRR, Vol. abs/2002.05709 (2020). [arXiv]2002.05709 https://arxiv.org/abs/2002.05709
5. Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
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