Two-Stream Convolutional Networks for Action Recognition in Videos Two-Stream Convolutional Networks for Action Recognition in Videos
Paper summary This paper proposes a model for solving discriminative tasks with video inputs. The model consists of two convolutional nets. The input to one net is an appearance frame. The input to the second net is a stack of densely computed optical flow features. Each pathway is trained separately to classify its input. The prediction for a video is obtained by taking a (weighted) average of the predictions made by each net.
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Two-Stream Convolutional Networks for Action Recognition in Videos
Simonyan, Karen and Zisserman, Andrew
Neural Information Processing Systems Conference - 2014 via Bibsonomy
Keywords: dblp


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