Classification-Reconstruction Learning for Open-Set Recognition

1 code implementation • CVPR 2019 • Ryota Yoshihashi, Wen Shao, Rei Kawakami, ShaoDi You, Makoto Iida, Takeshi Naemura

Existing open-set classifiers rely on deep networks trained in a supervised manner on known classes in the training set; this causes specialization of learned representations to known classes and makes it hard to distinguish unknowns from knowns.

Classification General Classification +2