4 citations · 4 across the 4 of their papers we have counts for
5 papers
Debiased Prompt Tuning in Vision-Language Model without Annotations
Chaoquan Jiang, Yunfan Yang, Rui Hu +1
Prompt tuning of Vision-Language Models (VLMs) such as CLIP, has demonstrated the ability to rapidly adapt to various downstream tasks. However, recent studies indicate that tuned…
Debiasing Vison-Language Models with Text-Only Training
Yunfan Yang, Chaoquan Jiang, Zhiyu Lin +3
Pre-trained vision-language models (VLMs), such as CLIP, have exhibited remarkable performance across various downstream tasks by aligning text and images in a unified embedding sp…
CompassDB: Pioneering High-Performance Key-Value Store with Perfect Hash
Jin Jiang, Dongsheng He, Yu Hu +6
Modern mainstream persistent key-value storage engines utilize Log-Structured Merge tree (LSM-tree) based designs, optimizing read/write performance by leveraging sequential disk I…
Language-assisted Vision Model Debugger: A Sample-Free Approach to Finding and Fixing Bugs
Chaoquan Jiang, Jinqiang Wang, Rui Hu +1
Vision models with high overall accuracy often exhibit systematic errors in specific scenarios, posing potential serious safety concerns. Diagnosing bugs of vision models is gainin…
Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data
Rui Hu, Jitao Sang, Jinqiang Wang +1
Deep network models perform excellently on In-Distribution (ID) data, but can significantly fail on Out-Of-Distribution (OOD) data. While developing methods focus on improving OOD…