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[Slideshare] Attention Boosted Deep Networks for Video Classification 본문

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[Slideshare] Attention Boosted Deep Networks for Video Classification

Danbi Cho 2021. 5. 4. 11:32

Title: Attention boosted deep networks for video classification

Authors: You, J., and Korhonen, J.

Published: In 2020 IEEE Internationl conference on image processing (ICIP), pp. 1761-1765, 2020.

Paper: ieeexplore.ieee.org/abstract/document/9190996

 

Attention Boosted Deep Networks For Video Classification

Video classification can be performed by summarizing image contents of individual frames into one class by deep neural networks, e.g., CNN and LSTM. Human interpretation of video content is influenced by the attention mechanism. In other words, video class

ieeexplore.ieee.org

Slideshare: www.slideshare.net/DanbiCho2/attention-boosted-deep-networks-for-video-classification

 

Attention boosted deep networks for video classification

The presentation explains the integrating attention with CNN and LSTM. This paper carried out the video classification task using the attention with CNNLSTM mo…

www.slideshare.net

 

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