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20202022
most citedOn the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving

52 citations · 65 across the 3 of their papers we have counts for

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Showing 2021Show all

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cs.CV2021

Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks

Federico Nesti, Giulio Rossolini, Saasha Nair +2

Deep learning and convolutional neural networks allow achieving impressive performance in computer vision tasks, such as object detection and semantic segmentation (SS). However, r…