no code implementations • 24 Feb 2021 • Hakan Cevikalp, Bedirhan Uzun, Okan Köpüklü, Gurkan Ozturk
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.
no code implementations • 18 Nov 2020 • Hasan Saribas, Hakan Cevikalp, Okan Köpüklü, Bedirhan Uzun
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.