Webb语义引导的神经网络，用于Skeleton-Based人类动作识别，SGN 方案仅需非常小的参数量（仅0.69M）就实现了很高的识别精度。 Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition 作者 Pengfei Zhang, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jianru Xue, Nanning Zheng 单位 西安交通大学；微软亚洲研究院； … Webb20 apr. 2024 · Graph convolutional networks (GCNs) can well-preserve the structure information of the human body. They have achieved outstanding performance in skeleton-based action recognition. Nevertheless, there are still some issues with existing GCN-based methods. First, all channels have the same adjacency matrix. However, the …
Centrality Graph Convolutional Networks for Skeleton-based Action …
WebbYuxin Chen, Ziqi Zhang, Chunfeng Yuan, Bing Li, Ying Deng, Weiming Hu; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2024, pp. 13359-13368. Graph convolutional networks (GCNs) have been widely used and achieved remarkable results in skeleton-based action recognition. In GCNs, graph topology dominates feature … Webb24 aug. 2024 · Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention [DSTA-Net] Decoupled Spatial … day spa sample rd. coral springs
Contrast-Reconstruction Representation Learning for Self …
Webb8 apr. 2024 · Contrastive learning, relying on effective positive and negative sample pairs, is beneficial to learn informative skeleton representations in unsupervised skeleton-based action recognition. To achieve these positive and negative pairs, existing weak/strong data augmentation methods have to randomly change the appearance of skeletons for … Webb6 nov. 2015 · Skeleton based action recognition with convolutional neural network. Abstract: Temporal dynamics of postures over time is crucial for sequence-based … WebbSkeleton-based Action Recognition for Human-Robot Interaction using Self-Attention Mechanism Abstract: Motion prediction and action recognition play an influential role in … gcf of 48 and 20