Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification

The work in this paper is driven by the question how to exploit the temporal cues available in videos for their accurate classification, and for human action recognition in particular? Thus far, the vision community has focused on spatio-temporal approaches with fixed temporal convolution kernel dep...

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Hauptverfasser:	Diba, Ali, Fayyaz, Mohsen, Sharma, Vivek, Karami, Amir Hossein, Arzani, Mohammad Mahdi, Yousefzadeh, Rahman, Van Gool, Luc
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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