397 citations · 926 across the 49 of their papers we have counts for
4 papers · 1 filter
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis
Yihan Ma, Zhengyu Zhao, Xinlei He +3
Large text-to-image models have shown remarkable performance in synthesizing high-quality images. In particular, the subject-driven model makes it possible to personalize the image…
UMDFood: Vision-language models boost food composition compilation
Peihua Ma, Yixin Wu, Ning Yu +4
Nutrition information is crucial in precision nutrition and the food industry. The current food composition compilation paradigm relies on laborious and experience-dependent method…
From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need
Ziqing Yang, Zeyang Sha, Michael Backes +1
Visual prompt learning, as a newly emerged technique, leverages the knowledge learned by a large-scale pre-trained model and adapts it to downstream tasks through the usage of prom…
Model Distillation with Knowledge Transfer from Face Classification to Alignment and Verification
Chong Wang, Xipeng Lan, Yangang Zhang
Knowledge distillation is a potential solution for model compression. The idea is to make a small student network imitate the target of a large teacher network, then the student ne…