Recurrent Residual Module for Fast Inference in Videos

CVPR 2018 Bowen PanWuwei LinXiaolin FangChaoqin HuangBolei ZhouCewu Lu

Deep convolutional neural networks (CNNs) have made impressive progress in many video recognition tasks such as video pose estimation and video object detection. However, CNN inference on video is computationally expensive due to processing dense frames individually... (read more)

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