43 citations · 60 across the 6 of their papers we have counts for
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cs.CV2023★ 2 cited
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
Jiawen Zhu, Choubo Ding, Yu Tian +1
Open-set supervised anomaly detection (OSAD) - a recently emerging anomaly detection area - aims at utilizing a few samples of anomaly classes seen during training to detect unseen…
cs.CV2023
Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features
Choubo Ding, Guansong Pang
Detecting out-of-distribution (OOD) inputs is a principal task for ensuring the safety of deploying deep-neural-network classifiers in open-set scenarios. OOD samples can be drawn…