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This is a Quantitative Study study.

September 23, 2025Open Access

Quality Text, Robust Vision: The Role of Language in Enhancing Visual Robustness of Vision-Language Models

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Authors

FWFuta Waseda SSSaku Sugawara IEIsao Echizen

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Overview

Observational analysis reveals that Quality Text-guided adversarial fine-tuning improves image classification, suggesting enhanced robustness against adversarial attacks.

Key Points

QT-AFT enhances the robustness of vision-language models against adversarial attacks, allowing for better image classification.
Key evidence shows state-of-the-art zero-shot adversarial robustness and clean accuracy across 16 datasets.
The study proposes a novel approach, leveraging high-quality captions during training to improve semantic guidance in adversarial training.
Findings indicate the importance of linguistic supervision in improving visual representation learning.

Cite This Study

Waseda et al. (2025) studied this question.

synapsesocial.com/papers/68d473bb31b076d99fa6cc8f https://doi.org/10.48550/arxiv.2507.16257

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September 23, 2025Open Access

Quality Text, Robust Vision: The Role of Language in Enhancing Visual Robustness of Vision-Language Models

View Full Paper

Ask AI

Bookmark

Authors

FWFuta Waseda SSSaku Sugawara IEIsao Echizen

Discussion

Member takes

Overview

Observational analysis reveals that Quality Text-guided adversarial fine-tuning improves image classification, suggesting enhanced robustness against adversarial attacks.

Key Points

QT-AFT enhances the robustness of vision-language models against adversarial attacks, allowing for better image classification.
Key evidence shows state-of-the-art zero-shot adversarial robustness and clean accuracy across 16 datasets.
The study proposes a novel approach, leveraging high-quality captions during training to improve semantic guidance in adversarial training.
Findings indicate the importance of linguistic supervision in improving visual representation learning.

Cite This Study

Waseda et al. (2025) studied this question.

synapsesocial.com/papers/68d473bb31b076d99fa6cc8f https://doi.org/10.48550/arxiv.2507.16257

View Full Paper

Ask AI

Bookmark