most citedProbing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach

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cs.CV2024★ 1 cited

Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach

Jiwei Guan, Tianyu Ding, Longbing Cao +3

Vision-language pretraining (VLP) with transformers has demonstrated exceptional performance across numerous multimodal tasks. However, the adversarial robustness of these models h…

cs.CV2023

CUEING: a lightweight model to Capture hUman attEntion In driviNG

Linfeng Liang, Yao Deng, Yang Zhang +4

Discrepancies in decision-making between Autonomous Driving Systems (ADS) and human drivers underscore the need for intuitive human gaze predictors to bridge this gap, thereby impr…