TA.L303.3
Patch-wise Auto-Encoder for Visual Anomaly Detection
Yajie Cui, Zhaoxiang Liu, Shiguo Lian, China Unicom, China
Session:
TA.L303: Anomaly Detection I Lecture
Track:
Applications of Machine Learning
Location:
Room 303
Presentation Time:
Tue, 10 Oct, 11:36 - 11:54 Malaysia Time (UTC +8)
Session Chair:
Nicola Conci, University of Trento
Session TA.L303
TA.L303.1: CKT: CROSS-IMAGE KNOWLEDGE TRANSFER FOR TEXTURE ANOMALY DETECTION
Zixin Chen, Xincheng Yao, Shanghai Jiao Tong University, China; Zhenyu Liu, Baozhu Zhang, Ningbo HTVision Digital Technology Co.,Ltd, China; Chongyang Zhang, Shanghai Jiao Tong University, China
TA.L303.2: ABNORMAL-AWARE LOSS AND FULL DISTILLATION FOR UNSUPERVISED ANOMALY DETECTION BASED ON KNOWLEDGE DISTILLATION
Mengyuan Zhao, Yonghong Song, Xi’an Jiaotong University, China
TA.L303.3: Patch-wise Auto-Encoder for Visual Anomaly Detection
Yajie Cui, Zhaoxiang Liu, Shiguo Lian, China Unicom, China
TA.L303.4: UNSUPERVISED ANOMALY DETECTION USING VARIATIONAL AUTOENCODER WITH GAUSSIAN RANDOM FIELD PRIOR
Hugo Gangloff, Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), AgroParisTech, France; Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre, Institut de recherche en informatique et systèmes aléatoires (IRISA), Université Bretagne Sud, France
TA.L303.5: INTELLIGENT PAINTER: PICTURE COMPOSITION WITH RESAMPLING DIFFUSION MODEL
Wing-Fung Ku, Caritas Institute of Higher Education, Hong Kong; Wan-Chi Siu, Hong Kong Polytechnic University & Caritas Institute of Higher Education, Hong Kong; Xi Cheng, H. Anthony Chan, Caritas Institute of Higher Education, Hong Kong
Contacts