3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Distilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification
Yunyi Xuan, Weijie Chen, Shicai Yang +3
Data-Free Knowledge Distillation (DFKD) has shown great potential in creating a compact student model while alleviating the dependency on real training data by synthesizing surroga…
cs.CV2023★ 1 cited
Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models
Weijie Chen, Haoyu Wang, Shicai Yang +6
We do not pursue a novel method in this paper, but aim to study if a modern text-to-image diffusion model can tailor any task-adaptive image classifier across domains and categorie…
cs.CV2022★ 3 cited
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Da-Wei Zhou, Han-Jia Ye, Liang Ma +3
New classes arise frequently in our ever-changing world, e.g., emerging topics in social media and new types of products in e-commerce. A model should recognize new classes and mea…