Learning Open Set Network with Discriminative Reciprocal Points
european conference on computer vision, pp. 507-522, 2020.
Open set recognition is an emerging research area that aims to simultaneously classify samples from predefined classes and identify the rest as ‘unknown’. In this process, one of the key challenges is to reduce the risk of generalizing the inherent characteristics of numerous unknown samples learned from a small amount of known data. In t...More
PPT (Upload PPT)