Hierarchical Attentive Recurrent Tracking

NeurIPS 2017 Adam R. KosiorekAlex BewleyIngmar Posner

Class-agnostic object tracking is particularly difficult in cluttered environments as target specific discriminative models cannot be learned a priori. Inspired by how the human visual cortex employs spatial attention and separate "where" and "what" processing pathways to actively suppress irrelevant visual features, this work develops a hierarchical attentive recurrent model for single object tracking in videos... (read more)

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