2 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Dual-Path Stable Soft Prompt Generation for Domain Generalization
Yuedi Zhang, Shuanghao Bai, Wanqi Zhou +2
Domain generalization (DG) aims to learn a model using data from one or multiple related but distinct source domains that can generalize well to unseen out-of-distribution target d…
Soft Prompt Generation for Domain Generalization
Shuanghao Bai, Yuedi Zhang, Wanqi Zhou +2
Large pre-trained vision language models (VLMs) have shown impressive zero-shot ability on downstream tasks with manually designed prompt. To further adapt VLMs to downstream tasks…
Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
Shuanghao Bai, Min Zhang, Wanqi Zhou +4
Recently, despite the unprecedented success of large pre-trained visual-language models (VLMs) on a wide range of downstream tasks, the real-world unsupervised domain adaptation (U…
Improving Cross-domain Few-shot Classification with Multilayer Perceptron
Shuanghao Bai, Wanqi Zhou, Zhirong Luan +2
Cross-domain few-shot classification (CDFSC) is a challenging and tough task due to the significant distribution discrepancies across different domains. To address this challenge,…