Predicting Failures of Vision Systems

no code implementations • CVPR 2014 • Peng Zhang, Jiuling Wang, Ali Farhadi, Martial Hebert, Devi Parikh

We show that a surprisingly straightforward and general approach, that we call ALERT, can predict the likely accuracy (or failure) of a variety of computer vision systems – semantic segmentation, vanishing point and camera parameter estimation, and image memorability prediction – on individual input images.

Attribute Semantic Segmentation +1