How Natural Damage Misleads AI-based Vision Systems (IMAGE)
Caption
Researchers develop a framework that generates realistic wear and tear on traffic signs to show how it can mislead AI recognition systems, while also offering a potential approach for improving model robustness to real-world damage.
Credit
Associate Professor Seong Tae Kim from Kyung Hee University and Assistant Professor Hong Joo Lee from Seoul National University of Science and Technology (SEOULTECH).
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