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cs.CV2025
Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics
Francesco Croce, Christian Schlarmann, Naman Deep Singh +1
Measuring perceptual similarity is a key tool in computer vision. In recent years perceptual metrics based on features extracted from neural networks with large and diverse trainin…
cs.CV2024
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
Francesco Croce, Naman D Singh, Matthias Hein
Adversarial robustness has been studied extensively in image classification, especially for the -threat model, but significantly less so for related tasks such as obje…