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We introduce PBG-Net, an object detection system based on an elaborately designed multi-feature deep CNN which works without proposal algorithms. Firstly, PBG-Net aggregates hierarchical features into multi-feature maps and discretizes the output of Conv5 feature map into a set of predicting boxes, namely Predicting Boxes Generation (PBG). Then, PBG-Net crops multi-feature maps via mapping the predicting...
Person re-identification, which matches specific persons across non-overlapping camera views, remains a challenging problem in computer vision area. Feature representation with metric learning and deep neural network are two prevailing yet relatively independent strategies of previous researches in this field. To take the advantages of these two branches, this paper introduces a strategy known as...
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