3 citations · 6 across the 5 of their papers we have counts for
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cs.CV2022
Collaborative Image Understanding
Koby Bibas, Oren Sar Shalom, Dietmar Jannach
Automatically understanding the contents of an image is a highly relevant problem in practice. In e-commerce and social media settings, for example, a common problem is to automati…
cs.CV2021★ 1 cited
Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness
Uriya Pesso, Koby Bibas, Meir Feder
Adversarial attacks have been shown to be highly effective at degrading the performance of deep neural networks (DNNs). The most prominent defense is adversarial training, a method…
cs.CV2019★ 2 cited
Balancing Specialization, Generalization, and Compression for Detection and Tracking
Dotan Kaufman, Koby Bibas, Eran Borenstein +2
We propose a method for specializing deep detectors and trackers to restricted settings. Our approach is designed with the following goals in mind: (a) Improving accuracy in restri…