Abstract:Keywords: Multiple instance learning, deep learning, video-based face recognition. Abstract. In many real-world video-based face recognition scenarios, videos are usually captured under unconstrained conditions. It is very challenging because of low face resolutions, varying head pose and complex lighting. To address this issue, we present a new method by formulating the video-based face recognition issue as a multi-instance learning (MIL) problem. Specifically, given a pair of videos, we generate a bag compos… Show more
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