IVMSP-P47.3
ONE-STAGE SEMI-SUPERVISED SEMANTIC SEGMENTATION FOR ANOMALY DETECTION VIA CONSISTENCY REGULARIZATION AND STUDENT-TEACHER MODELS
Yuta Nakanishi, Mitsubishi Electric Corporation, Japan
Session:
IVMSP-P47: Anomaly Detection in Image and Videos Poster
Track:
Image, Video and Multidimensional Signal Processing [IV]
Location:
Poster Area 14
Presentation Time:
Fri, 8 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session IVMSP-P47
IVMSP-P47.1: AD-DINOv3: Enhancing DINOv3 for Zero-Shot Anomaly Detection with Anomaly-Aware Calibration
Jingyi Yuan, Jianxiong Ye, Wenkang Chen, Chenqiang Gao, School of Intelligent Systems Engineering, Sun Yat-Sen University, China
IVMSP-P47.2: Gaussian-grounded Contextual Hierarchical Inference for Weakly Supervised Video Anomaly Detection
Wenqiang Zheng, Tong Zhang, Nanjing University of Science and Technology, China; Zhen Cui, Beijing Normal University, China; Chunyan Xu, Nanjing University of Science and Technology, China
IVMSP-P47.3: ONE-STAGE SEMI-SUPERVISED SEMANTIC SEGMENTATION FOR ANOMALY DETECTION VIA CONSISTENCY REGULARIZATION AND STUDENT-TEACHER MODELS
Yuta Nakanishi, Mitsubishi Electric Corporation, Japan
IVMSP-P47.4: C&F-WSVAD: TOWARDS HIGH-PERFORMANCE COARSE AND FINE-GRAINED WEAKLY-SUPERVISED VIDEO ANOMALY DETECTION
Yang Wang, Fudan University, China; Jiaogen Zhou, Huaiyin Normal University, China; Jihong Guan, Tongji University, China; Shuigeng Zhou, Fudan University, China
IVMSP-P47.5: BEYOND PIXEL PROPHECY: HIERARCHICAL KNOWLEDGE STRUCTURES FOR TRAINING-FREE VIDEO ANOMALY PREDICTION
Junheng Zhong, Ruomei Wang, Baoquan Zhao, Fan Zhou, Sun Yat-sen University, China
IVMSP-P47.6: CROSS PSEUDO LABELING FOR WEAKLY SUPERVISED VIDEO ANOMALY DETECTION
Dayeon Lee, Donghyeong Kim, Yonsei University, Korea, Republic of; Chaewon Park, Samsung Electronics, Korea, Republic of; Sungmin Woo, Sangyoun Lee, Yonsei University, Korea, Republic of
IVMSP-P47.7: VL-ANODIFF: VISION-LANGUAGE GUIDED DIFFUSION FOR FEW-SHOT INDUSTRIAL ANOMALY SYNTHESIS
Mo Li, Shubo Zhou, Weiyu Hu, Xue-Qin Jiang, Donghua University, China; Yongbin Gao, Shanghai University of Engineering Science, China
IVMSP-P47.8: AN ENHANCED MEMORY ATTENTION AND CONTENT-GUIDED MODEL FOR MINI LED ANOMALY DETECTION
Lei Zhou, Long Chen, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China; You Zhou, Zongze Wu, Shenzhen University, China; Wei Wang, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China
IVMSP-P47.9: ORTHOVAD: WEAKLY SUPERVISED VIDEO ANOMALY DETECTION VIA PROTOTYPE ORTHOGONALITY LEARNING
Tao Zhu, Yue Liu, Kaiwen Luo, Longjie Huang, Xinyi Tu, Yuheng Cheng, Shiyu Li, Jiangxi University Of Finance And Economics, China; Qi Yu, Jiangxi Science & Technology Normal University, China; Hao Tu, Lei Shu, Jiangxi University Of Finance And Economics, China
IVMSP-P47.10: EFFICIENT3D-AD: TOKEN-EFFICIENT AND VIEW-AWARE ZERO-SHOT 3D MULTIMODAL ANOMALY DETECTION
Jinju Chen, Lize Gu, Beijing University of Posts and Telecommunications, China; Xuan Chen, Objecteye, China; Zhongyi Li, Beihang University, China
Contacts