4 papers
Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation
Hanwen Shen, Ting Ying, Jiajie Lu +1
Although debiased large language models (LLMs) excel at handling known or low-bias prompts, they often fail on unfamiliar and high-bias prompts. We demonstrate via out-of-distribut…
FOUND: Fourier-based von Mises Distribution for Robust Single Domain Generalization in Object Detection
Mengzhu Wang, Changyuan Deng, Shanshan Wang +3
Single Domain Generalization (SDG) for object detection aims to train a model on a single source domain that can generalize effectively to unseen target domains. While recent metho…
StackCLIP: Clustering-Driven Stacked Prompt in Zero-Shot Industrial Anomaly Detection
Yanning Hou, Yanran Ruan, Junfa Li +3
Enhancing the alignment between text and image features in the CLIP model is a critical challenge in zero-shot industrial anomaly detection tasks. Recent studies predominantly util…
H2OVL-Mississippi Vision Language Models Technical Report
Shaikat Galib, Shanshan Wang, Guanshuo Xu +4
Smaller vision-language models (VLMs) are becoming increasingly important for privacy-focused, on-device applications due to their ability to run efficiently on consumer hardware f…