most citedEvaluation and Analysis of Hallucination in Large Vision-Language Models

26 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Incremental Multiview Point Cloud Registration with Two-stage Candidate Retrieval

Shiqi Li, Jihua Zhu, Yifan Xie +1

Multiview point cloud registration serves as a cornerstone of various computer vision tasks. Previous approaches typically adhere to a global paradigm, where a pose graph is initia…

cs.CV2024

Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation

Xingyue Zhao, Zhongyu Li, Xiangde Luo +8

Recent advances in deep learning have greatly facilitated the automated segmentation of ultrasound images, which is essential for nodule morphological analysis. Nevertheless, most…

cs.LG2024

Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models

Jinqian Chen, Jihua Zhu, Qinghai Zheng +2

Federated learning encounters substantial challenges with heterogeneous data, leading to performance degradation and convergence issues. While considerable progress has been achiev…

cs.LG202326 cited

Evaluation and Analysis of Hallucination in Large Vision-Language Models

Junyang Wang, Yiyang Zhou, Guohai Xu +9

Large Vision-Language Models (LVLMs) have recently achieved remarkable success. However, LVLMs are still plagued by the hallucination problem, which limits the practicality in many…

cs.LG2023

Contrastive Label Enhancement

Yifei Wang, Yiyang Zhou, Jihua Zhu +3

Label distribution learning (LDL) is a new machine learning paradigm for solving label ambiguity. Since it is difficult to directly obtain label distributions, many studies are foc…