ConvNet Architecture Search for Spatiotemporal Feature Learning

16 Aug 2017Du TranJamie RayZheng ShouShih-Fu ChangManohar Paluri

Learning image representations with ConvNets by pre-training on ImageNet has proven useful across many visual understanding tasks including object detection, semantic segmentation, and image captioning. Although any image representation can be applied to video frames, a dedicated spatiotemporal representation is still vital in order to incorporate motion patterns that cannot be captured by appearance based models alone... (read more)

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