3 citations · 5 across the 8 of their papers we have counts for
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cs.CV2024
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Zhifang Zhang, Shuo He, Haobo Wang +2
Multimodal contrastive learning models (e.g., CLIP) can learn high-quality representations from large-scale image-text datasets, while they exhibit significant vulnerabilities to b…
cs.CV2023
Tackling VQA with Pretrained Foundation Models without Further Training
Alvin De Jun Tan, Bingquan Shen
Large language models (LLMs) have achieved state-of-the-art results in many natural language processing tasks. They have also demonstrated ability to adapt well to different tasks…
cs.CV2023★ 3 cited
A Novel real-time arrhythmia detection model using YOLOv8
Guang Jun Nicholas Ang, Aritejh Kr Goil, Henryk Chan +6
In a landscape characterized by heightened connectivity and mobility, coupled with a surge in cardiovascular ailments, the imperative to curtail healthcare expenses through remote…