Multi-Attribute Open Set Recognition

1 code implementation • 14 Aug 2022 • Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta, Mauricio Munoz, Volker Fischer

While conventional OSR approaches can detect Out-of-Distribution (OOD) samples, they cannot provide explanations indicating which underlying visual attribute(s) (e. g., shape, color or background) cause a specific sample to be unknown.

Image Classification Open Set Learning

Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain

1 code implementation • 20 Jul 2022 • Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta, Mauricio Munoz, Volker Fischer

Our approach extends the training set with an additional dataset (the source domain), which is specifically designed to facilitate learning independent representations of basic visual factors.

DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities

1 code implementation • ICCV 2021 • Elias Eulig, Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Kilian Rambach, William Beluch, Xiahan Shi, Volker Fischer

We also argue that it is necessary for DNNs to exploit GO to overcome shortcut learning.

Image Classification