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Huazhong University of Science and Technology(华中科技大学)

2025-12-23 至 2025-12-23 共收录 7
2512.19331 2025-12-23 cs.CV

DeltaMIL: Gated Memory Integration for Efficient and Discriminative Whole Slide Image Analysis

DeltaMIL: 基于门控记忆的高效且判别性全滑片图像分析

Yueting Zhu, Yuehao Song, Shuai Zhang, Wenyu Liu, Xinggang Wang

机构 * School of Electronic Information and Communications, Huazhong University of Science and Technology(电子信息学院,华中科技大学)

AI总结 DeltaMIL通过门控记忆机制提升全滑片图像分析的效率与判别性,实验显示其在生存预测和分类任务中均取得显著性能提升。

Comments 11 pages,7 figures,8 tables

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2512.17296 2025-12-23 cs.CV

Towards Pixel-Wise Anomaly Location for High-Resolution PCBA via Self-Supervised Image Reconstruction

面向高分辨率PCBA的像素级异常定位方法:基于自监督图像重建

Wuyi Liu, Le Jin, Junxian Yang, Yuanchao Yu, Zishuo Peng, Jinfeng Xu, Xianzhi Li, Jun Zhou

机构 * Huazhong University of Science and Technology(华中科技大学) Siemens AG(西门子股份公司) University of Electronic Science and Technology of China(电子科技大学) Peking University(北京大学)

AI总结 本文提出HiSIR-Net,通过自监督图像重建实现高分辨率PCBA的像素级异常定位,结合SIR-Gate和ROPS方案,提升定位精度与效率。

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2506.10609 2025-12-23 cs.CV

MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling

MSTAR: 无框多查询场景文本检索与注意力回收

Liang Yin, Xudong Xie, Zhang Li, Xiang Bai, Yuliang Liu

机构 * Huazhong University of Science and Technology(华中科技大学)

AI总结 MSTAR提出了一种无框多查询场景文本检索方法,通过渐进视觉嵌入和多实例匹配模块提升检索性能,首次构建MQTR数据集并优于现有模型。

Comments Neurips 2025

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2503.04162 2025-12-23 cs.IR cs.AI

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation

语义检索增强对比学习用于序列推荐

Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Shiwei Li, Peiyang Liu, Bowei He, Dugang Liu, Weihong Luo, Xiuqiang He, Chen Ma

机构 * City University of Hong Kong(香港城市大学) Huazhong University of Science and Technology(华中科技大学) Tencent(腾讯) Shenzhen Technology University(深圳技术大学) Peking University(北京大学) Shenzhen University(深圳大学)

AI总结 SRA-CL通过利用LLMs的语义能力生成高质量对比对,提升序列推荐模型的性能。

Comments Accepted by NeurIPS 2025. Code is available at: https://github.com/ziqiangcui/SRA-CL

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2404.12220 2025-12-23 cs.RO

Hybrid Dynamics Modeling and Trajectory Planning for a Cable-Trailer System with a Quadruped Robot

混合动力学建模与电缆-拖车系统四足机器人的轨迹规划

Wentao Zhang, Shaohang Xu, Gewei Zuo, Bolin Li, Jingbo Wang, Lijun Zhu

机构 * School of Artificial Intelligence and Automation, Huazhong University of Science and Technology(人工智能与自动化学院,华中科技大学) Department of Data Science, City University of Hong Kong(数据科学系,城市大学) Embodied AI Center of Shanghai AI Lab(上海人工智能实验室具身智能中心)

AI总结 本文提出了一种混合动力学模型和搜索算法,用于四足机器人与电缆-拖车系统的轨迹规划,通过几何多边形碰撞避免约束实现安全高效的运动控制。

Comments 8 pages, 8 figures, Accept by RA-L 2025

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2403.10101 2025-12-23 cs.RO

Agile and Safe Trajectory Planning for Quadruped Navigation with Motion Anisotropy Awareness

具备运动各向异性意识的四足机器人导航轨迹规划

Wentao Zhang, Shaohang Xu, Peiyuan Cai, Lijun Zhu

机构 * School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, China(华中科技大学人工智能与自动化学院)

AI总结 本文提出了一种考虑四足机器人运动各向异性的导航框架,通过轨迹生成与优化提升导航效率和安全性。

Comments 8 pages, 6 figures, submitted to 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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2512.18245 2025-12-23 cs.CV cs.AI

Spectral Discrepancy and Cross-modal Semantic Consistency Learning for Object Detection in Hyperspectral Image

光谱偏差与跨模态语义一致性学习用于超光谱图像的目标检测

Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Zhimin Gao, Chuankun Li, Shaohua Qiu, Jiangfeng Xu

机构 * School of Computer, Wuhan University(武汉大学计算机学院) School of Software Engineering, Huazhong University of Science and Technology(华中科技大学软件学院) school of computer, National University of Defense Technology(国防科技大学计算机学院) Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputing Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences)(山东省计算机网络重点实验室、山东省计算机科学中心(国家超级计算中心济南中心)、齐鲁工业大学(山东省科学院)) School of Computer and Artificial Intelligence, Zhengzhou University(郑州大学计算机与人工智能学院) School of Information and Communication Engineering, North University of China(北方大学信息与通信工程学院) National Key Laboratory of Electromagnetic Energy, Naval University of Engineering(电磁能国家重点实验室、海军工程大学) Hexagon AB

AI总结 本文提出SDCM网络,通过光谱偏差与跨模态语义一致性学习,提升超光谱图像目标检测的性能。

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