What could go wrong? Discovering and describing failure modes in computer vision

Gabriela Csurka, Tyler L. Hayes, Diane Larlus +1

Deep learning models are effective, yet brittle. Even carefully trained, their behavior tends to be hard to predict when confronted with out-of-distribution samples. In this work,…