Deep Compact Polyhedral Conic Classifier for Open and Closed Set Recognition

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.

Anomaly Detection General Classification +1