14 citations · 22 across the 2 of their papers we have counts for
5 papers
Classification Confidence Estimation with Test-Time Data-Augmentation
Yuval Bahat, Gregory Shakhnarovich
Machine learning plays an increasingly significant role in many aspects of our lives (including medicine, transportation, security, justice and other domains), making the potential…
What's in the Image? Explorable Decoding of Compressed Images
Yuval Bahat, Tomer Michaeli
The ever-growing amounts of visual contents captured on a daily basis necessitate the use of lossy compression methods in order to save storage space and transmission bandwidth. Wh…
Explorable Super Resolution
Yuval Bahat, Tomer Michaeli
Single image super resolution (SR) has seen major performance leaps in recent years. However, existing methods do not allow exploring the infinitely many plausible reconstructions…
Natural and Adversarial Error Detection using Invariance to Image Transformations
Yuval Bahat, Michal Irani, Gregory Shakhnarovich
We propose an approach to distinguish between correct and incorrect image classifications. Our approach can detect misclassifications which either occur ("na…
Confidence from Invariance to Image Transformations
Yuval Bahat, Gregory Shakhnarovich
We develop a technique for automatically detecting the classification errors of a pre-trained visual classifier. Our method is agnostic to the form of the classifier, requiring acc…