3 citations · 3 across the 5 of their papers we have counts for
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cs.LG2021
Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition
Jingyun Jia, Philip K. Chan
The objective of Open set recognition (OSR) is to learn a classifier that can reject the unknown samples while classifying the known classes accurately. In this paper, we propose a…
cs.LG2020
MMF: A loss extension for feature learning in open set recognition
Jingyun Jia, Philip K. Chan
Open set recognition (OSR) is the problem of classifying the known classes, meanwhile identifying the unknown classes when the collected samples cannot exhaust all the classes. The…
cs.LG2020
Deep Learning and Open Set Malware Classification: A Survey
Jingyun Jia
As the Internet is growing rapidly these years, the variant of malicious software, which often referred to as malware, has become one of the major and serious threats to Internet u…