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cs.CV2017★ 3 cited
Latent hypernet: Exploring all Layers from Convolutional Neural Networks
Artur Jordao, Ricardo Kloss, William Robson Schwartz
Since Convolutional Neural Networks (ConvNets) are able to simultaneously learn features and classifiers to discriminate different categories of activities, recent works have emplo…
cs.CV2017
Activity Recognition based on a Magnitude-Orientation Stream Network
Carlos Caetano, Victor H. C. de Melo, Jefersson A. dos Santos +1
The temporal component of videos provides an important clue for activity recognition, as a number of activities can be reliably recognized based on the motion information. In view…