52 citations · 69 across the 4 of their papers we have counts for
4 papers
Synthetic Unknown Class Learning for Learning Unknowns
Jaeyeon Jang
This paper addresses the open set recognition (OSR) problem, where the goal is to correctly classify samples of known classes while detecting unknown samples to reject. In the OSR…
Teacher-Explorer-Student Learning: A Novel Learning Method for Open Set Recognition
Jaeyeon Jang, Chang Ouk Kim
If an unknown example that is not seen during training appears, most recognition systems usually produce overgeneralized results and determine that the example belongs to one of th…
Collective Decision of One-vs-Rest Networks for Open Set Recognition
Jaeyeon Jang, Chang Ouk Kim
Unknown examples that are unseen during training often appear in real-world machine learning tasks, and an intelligent self-learning system should be able to distinguish between kn…
One-vs-Rest Network-based Deep Probability Model for Open Set Recognition
Jaeyeon Jang, Chang Ouk Kim
Unknown examples that are unseen during training often appear in real-world computer vision tasks, and an intelligent self-learning system should be able to differentiate between k…