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DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization
March 26, 2024, 4:48 a.m. | Yunlong Tang, Yuxuan Wan, Lei Qi, Xin Geng
cs.CV updates on arXiv.org arxiv.org
Abstract: Source-Free Domain Generalization (SFDG) aims to develop a model that works for unseen target domains without relying on any source domain. Recent work, PromptStyler, employs text prompts to simulate different distribution shifts in the joint vision-language space, allowing the model to generalize effectively to unseen domains without using any images. However, 1) PromptStyler's style generation strategy has limitations, as all style patterns are fixed after the first training phase. This leads to the training set …
abstract arxiv cs.cv distribution domain domains dynamic free language prompts space text type vision work
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Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
1 day, 13 hours ago |
arxiv.org
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