106 citations · 356 across the 61 of their papers we have counts for
4 papers · 2 filters
Single Image Test-Time Adaptation for Segmentation
Klara Janouskova, Tamir Shor, Chaim Baskin +1
Test-Time Adaptation (TTA) methods improve the robustness of deep neural networks to domain shift on a variety of tasks such as image classification or segmentation. This work expl…
Semi-Supervised Semantic Segmentation via Marginal Contextual Information
Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii +2
We present a novel confidence refinement scheme that enhances pseudo labels in semi-supervised semantic segmentation. Unlike existing methods, which filter pixels with low-confiden…
Enhanced Meta Label Correction for Coping with Label Corruption
Mitchell Keren Taraday, Chaim Baskin
Traditional methods for learning with the presence of noisy labels have successfully handled datasets with artificially injected noise but still fall short of adequately handling r…
Class-Conditioned Transformation for Enhanced Robust Image Classification
Tsachi Blau, Roy Ganz, Chaim Baskin +2
Robust classification methods predominantly concentrate on algorithms that address a specific threat model, resulting in ineffective defenses against other threat models. Real-worl…