On top of this representation we append a 1-hidden-layer MLP , which is used to predict the final video classes. Space-Time Self-Attention Models.We can reduce the computational cost by replacing the spatiotemporal attention of Eq.5with spatial attention within each frame only (Eq.6). Howev...
Space-Time Attention with Shifted Non-Local Search 来自 arXiv.org 喜欢 0 阅读量: 3 作者:K Gauen,S Chan 摘要: Efficiently computing attention maps for videos is challenging due to the motion of objects between frames. While a standard non-local search is high-quality for a window ...
一种基于时空注意力的视频分类方法 Video classification method based on space-time attention本发明涉及一种基于时空注意力的视频分类方法,包括以下步骤:对训练视频和待预测视频提取帧和光流,将若干光流堆叠为多通道的图像;搭建时空注意力模型,包括空域注意力网络,时域注意力网络和连接网络;联合训练时空注意力模型中的...
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Drawing on medium theory, I argue that participation in community informatics in an era of virtual identities and mediated communication requires attention to the broad effects of technology, particularly in connection to changing conceptions of time and space. Some implications for community networks ...
On the Performance of Space-Time Coding Using MSK with Quasi-Imperfect Synchronization System for the Wireless Sensor Networks Recently, collaborative diversity techniques with a constant envelope modulation such as Minimum Shift Keying (MSK) have gained much attention in a wireless sensor network ...
Natural scene statistics over space and time can inform both of the above frameworks. These directions have the potential to unify our understanding of spatial and temporal contextual processing. Such unified approaches also highlight the many gaps in our current understanding and suggest future ...
Space-time frequency-shift keying Finally, ST-FSK can be adopted in the digital as well as in the analog domain, and merges very naturally with frequency-hopping multiple access. As ... G Leus,W Zhao,GB Giannakis,... - Institute of Electrical and Electronics Engineers 被引量: 0发表: 200...
SpaceLearner Merge pull request#6from wangz3066/main Dec 20, 2024 1abea6d·Dec 20, 2024 History 149 Commits README Awesome-DynamicGraphLearning Awesome papers (codes) about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs) and their applications (i.e....
Space-time block codes (STBCs) from orthogonal designs (ODs) and coordinate interleaved orthogonal designs (ClOD) have been attracting wider attention due ... Khan,Z Ali,S Rajan,... - 《IEEE Transactions on Information Theory》 被引量: 450发表: 2006年 On Fast-Decodable Space–Time Block Co...