HEM: a margin-based loss for visual categorisation tasks

Michael W. Spratling, Heiko H. Schütt

Training deep neural networks (DNNs) on classification tasks can be performed with a number of different losses, but cross-entropy (CE) loss is the de-facto standard. Here, we prop…