结合分层深度网络与双向五元组损失的跨模态异常检测
- 范烨1,2,
- 彭淑娟1,2,
- 柳欣1,2,
- 崔振3,
- 王楠楠4
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1(华侨大学计算机科学与技术学院 福建厦门 361021)
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2(厦门市计算机视觉与模式识别重点实验室(华侨大学) 福建厦门 361021)
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3(南京理工大学计算机科学与工程学院 南京 210094)
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4(综合业务网理论及关键技术国家重点实验室(西安电子科技大学) 西安 710071) (fanye@stu.hqu.edu.cn)
基金项目: 之江实验室开放课题(2021KH0AB01);国家自然科学基金项目(61673185,61922066,62072244);福建省自然科学基金项目(2020J01083,2020J01084);高维信息智能感知与系统教育部重点实验室开放课题(JYB202102)
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中图分类号: TP391
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Cross-Modal Anomaly Detection via Hierarchical Deep Networks and Bi-Quintuple Loss
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1(College of Computer Science and Technology, Huaqiao University, Xiamen, Fujian 361021)
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2(Xiamen Key Laboratory of Computer Vision and Pattern Recognition (Huaqiao University), Xiamen, Fujian 361021)
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3(School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094)
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4(State Key Laboratory of Integrated Services Networks (Xidian University), Xi’an 710071)
Funds: This work was supported by the Open Research Projects of Zhejiang Lab (2021KH0AB01), the National Natural Science Foundation of China (61673185, 61922066, 62072244), the Natural Science Foundation of Fujian Province (2020J01083, 2020J01084), and the Open Research Projects of Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education (JYB202102).