Novel Class Discovery (NCD) aims at inferring novel classes in an unlabe...
Out-of-Distribution (OOD) detection is critical for the reliable operati...
This work studies the generalization issue of face anti-spoofing (FAS) m...
Recognizing out-of-distribution (OOD) samples is critical for machine
le...
Out-of-distribution (OOD) detection is vital to safety-critical machine
...
Recent advance in contrastive learning has shown remarkable performance....
Out-of-distribution (OOD) detection is a critical task for deploying mac...
Out-of-distribution (OOD) detection is a critical task for reliable mach...
Out-of-distribution (OOD) detection has received much attention lately d...
Detecting out-of-distribution (OOD) inputs is a central challenge for sa...
We revisit the importance of the individual units in Convolutional Neura...