Spatial–temporal injection network: exploiting auxiliary losses for action recognition with apparent difference and self-attention

Two-stream convolutional networks have shown strong performance in action recognition. However, both spatial and temporal features in two-stream are learned separately. There has been almost no consideration for the different characteristics of the spatial and temporal streams, which are performed o...

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Veröffentlicht in:	Signal, image and video processing image and video processing, 2023-06, Vol.17 (4), p.1173-1180
Hauptverfasser:	Cao, Haiwen, Wu, Chunlei, Lu, Jing, Wu, Jie, Wang, Leiquan
Format:	Artikel
Sprache:	eng
Schlagworte:	Activity recognition Computer Imaging Computer Science Constraint modelling Image Processing and Computer Vision Multimedia Information Systems Optical flow (image analysis) Original Paper Pattern Recognition and Graphics Signal,Image and Speech Processing Streams Vision
Online-Zugang:	Volltext
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