behavior dependencecontext clueself-attentionIn recent years,skeleton-based action recognition has made great achievements in Computer Vision.A graph convolutional network(GCN)is effective for action recognition,modelling the human skeleton as a spatio-temporal graph.Most GCNs define the graph topology by...
论文题目:Learning Discriminative Representations for Skeleton Based Action Recognition(基于骨架的动作识别学习判别表示) 作者&团队:Zhou H, Liu Q, Wang Y. 1.虚拟现实技术与系统国家重点实验室,北…
论文题目:Spatial-temporal graph neural ODE networks for skeleton-based action recognition 作者:Pan L, Lu J, Tang X. 期刊:Scientific Reports 影响因子:IF4.6 中科院分区:SCI3区 年份、卷号、刊号、页码:2024, 14(1): 7629. 研究目标:由于生理特征和动作执行条件的变化,重复执行相同的动作会导致骨骼数据的...
UpdatedFeb 19, 2024 Python niais/Awesome-Skeleton-based-Action-Recognition Star679 Skeleton-based Action Recognition computer-visionskeletonaction-recognitionrgb-dskeleton-based-action-recognition UpdatedApr 18, 2023 HTML firework8/Awesome-Skeleton-based-Action-Recognition ...
A novel multidimensional adaptive dynamic temporal graph convolutional network (MADT-GCN) model for skeleton-based action recognition is proposed in this work. It consists of two modules, one multidimensional adaptive graph convolutional network (MD-AGCN) module and one dynamic temporal convolutional ...
In recent years, skeleton-based action recognition has received considerable attention due to the robustness of human skeletons in complex environments. Ho
Yan Yan, Qi Dai, Xian-Sheng Hua The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)|May 2024 Graph Convolutional Networks (GCNs) have long set the state-of-the-art in skeleton-based action recognition, leveraging their ability to unravel the comp...
In the field of skeleton-based action recognition, ST-GCN has gained popularity because of its strong capability to model graph data and its effective use of prior knowledge regarding human joint connections. However, it faces certain challenges and limitations, such as difficulties in transferring ...
被引量: 0发表: 2024年 Multisource learning for skeleton-based action recognition using deep LSTM and CNN Human action recognition based on information concerning the skeleton of the human body has been widely studied because such informa...
In the field of skeleton-based action recognition, accurately recognizing human actions is crucial for applications such as virtual reality and motion analysis. However, this task faces challenges such intraindividual action differences and long-term tem