ActionFlowNet: Learning Motion Representation for Action Recognition

WACV, 2018.

Cited by: 52|Bibtex|Views37|Links
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Abstract:

We present a data-efficient representation learning approach to learn video representation with small amount of labeled data. We propose a multitask learning model ActionFlowNet to train a single stream network directly from raw pixels to jointly estimate optical flow while recognizing actions with convolutional neural networks, capturing...More

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