3 papers
cs.CV2026
DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection
Haochen Li, Rui Zhang, Hantao Yao +5
Domain Adaptive Object Detection (DAOD) aims to transfer detectors from a labeled source domain to an unlabeled target domain. Existing DAOD methods employ multi-granularity featur…
cs.AI2025
Sycophancy in Vision-Language Models: A Systematic Analysis and an Inference-Time Mitigation Framework
Yunpu Zhao, Rui Zhang, Junbin Xiao +4
Large Vision-Language Models (LVLMs) have shown significant capability in vision-language understanding. However, one critical issue that persists in these models is sycophancy, wh…
cs.CV2025
Object-Level Verbalized Confidence Calibration in Vision-Language Models via Semantic Perturbation
Yunpu Zhao, Rui Zhang, Junbin Xiao +5
Vision-language models (VLMs) excel in various multimodal tasks but frequently suffer from poor calibration, resulting in misalignment between their verbalized confidence and respo…