4 papers
Medical Image Understanding Improves Survival Prediction via Visual Instruction Tuning
Xixi Liu, Jorge Lazo, Andreas Hallqvist +8
Accurate prognostication and risk estimation are essential for guiding clinical decision-making and optimizing patient management. While radiologist-assessed features from CT scans…
ABounD: Adversarial Boundary-Driven Few-Shot Learning for Multi-Class Anomaly Detection
Runzhi Deng, Yundi Hu, Xinshuang Zhang +5
Few-shot multi-class industrial anomaly detection identifies diverse defects across multiple categories using a single unified model and limited normal samples. Although vision-lan…
Energy-Guided Decoding for Object Hallucination Mitigation
Xixi Liu, Ailin Deng, Christopher Zach
Mitigating object hallucination in large vision-language models (LVLMs) is critical to their safe deployment. Existing methods either are restricted to specific decoding methods, o…
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
Yifan Ding, Xixi Liu, Jonas Unger +1
\noindent Out-of-distribution (OOD) detection is essential for the safe deployment of machine learning models. Extensive work has focused on devising various scoring functions for…