1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Plug-and-play Class-aware Knowledge Injection for Prompt Learning with Visual-Language Model
Junhui Yin, Nan Pu, Xinyu Zhang +4
Prompt learning has become an effective and widely used technique in enhancing vision-language models (VLMs) such as CLIP for various downstream tasks, particularly in zero-shot cl…
cs.LG2025
Noisy Test-Time Adaptation in Vision-Language Models
Chentao Cao, Zhun Zhong, Zhanke Zhou +4
Test-time adaptation (TTA) aims to address distribution shifts between source and target data by relying solely on target data during testing. In open-world scenarios, models often…
cs.LG2024★ 1 cited
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
Chentao Cao, Zhun Zhong, Zhanke Zhou +3
Detecting out-of-distribution (OOD) samples is essential when deploying machine learning models in open-world scenarios. Zero-shot OOD detection, requiring no training on in-distri…