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Deep Compact Polyhedral Conic Classifier for Open and Closed Set Recognition
In this paper, we propose a new deep neural network classifier that simultaneously maximizes the inter-class separation and minimizes the intra-class variation by using the polyhedral conic classification function.
TRAT: Tracking by Attention Using Spatio-Temporal Features
Although motion provides distinctive and complementary information especially for fast moving objects, most of the recent tracking architectures primarily focus on the objects' appearance information.
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