no code implementations • 30 Apr 2024 • Shuanghao Bai, Yuedi Zhang, Wanqi Zhou, Zhirong Luan, Badong Chen
To further adapt VLMs to downstream tasks, soft prompt is proposed to replace manually designed prompt, which acts as a learning vector that undergoes fine-tuning based on specific domain data.
no code implementations • 6 Feb 2024 • Zhirong Luan, Yujun Lai, Rundong Huang, Xiaruiqi Lan, Liangjun Chen, Badong Chen
Analysts, programmers, and testers form a cohesive team overseeing strategy, code, and parameter adjustments .
1 code implementation • 15 Dec 2023 • Shuanghao Bai, Wanqi Zhou, Zhirong Luan, Donglin Wang, Badong Chen
Multilayer perceptron (MLP) has shown its capability to learn transferable representations in various downstream tasks, such as unsupervised image classification and supervised concept generalization.
1 code implementation • 15 Dec 2023 • Shuanghao Bai, Min Zhang, Wanqi Zhou, Siteng Huang, Zhirong Luan, Donglin Wang, Badong Chen
Therefore, in this paper, we first experimentally demonstrate that the unsupervised-trained VLMs can significantly reduce the distribution discrepancy between source and target domains, thereby improving the performance of UDA.