Convolutional Drift Networks for Video Classification

3 Nov 2017Dillon GrahamSeyed Hamed Fatemi LangroudiChristopher KananDhireesha Kudithipudi

Analyzing spatio-temporal data like video is a challenging task that requires processing visual and temporal information effectively. Convolutional Neural Networks have shown promise as baseline fixed feature extractors through transfer learning, a technique that helps minimize the training cost on visual information... (read more)

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