Unsupervised medical anomaly detection learns normal anatomical patterns from healthy training images and identifies deviations at test time. Reconstruction-based and diffusion-based methods commonly use the difference between an input image and its reconstruction as anomaly evidence. However, this residual can be ambi...
Yibo Wan, Jinyu Cai, Yunhe Zhang et al.· 0 citations
Fashion is a knowledge-intensive domain in which effective decision-making depends on integrating multiple types of knowledge. Although Large Language Models (LLMs) have transformed many areas, their application in fashion remains limited by hallucinations and weak domain specialization. Knowledge Graph (KG)-based Retr...
Yujuan Ding, Linyin Luo, Shijie Wang et al.· 0 citations
Large vision-language models (LVLMs) have achieved significant progress in video understanding, yet understanding long videos remains challenging due to the large number of visual tokens and limited context windows. Visual sampling provides a practical solution by selecting an informative subset of frames. However, exi...
Haiyue Zhang, Yi Bin, Xun Jiang et al.· arXiv.org· 0 citations
This survey establishes workload-level boundaries and connects system architecture, competence acquisition, and evaluation through a seven-dimensional terminal competence profile, and provides a unified basis for studying terminal-mediated agency across software engineering and emerging application domains.
Yi Bin, Xiaoyang Yuan, Hao Zeng et al.· 0 citations
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