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Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly
  Detection

Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection

26 September 2022
Peng-Fei Xing
Yanpeng Sun
Zechao Li
ArXivPDFHTML

Papers citing "Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection"

4 / 4 papers shown
Title
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised
  Anomaly Detection Strategy
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy
Yeonghyeon Park
Sungho Kang
Myung Jin Kim
Yeonho Lee
Hyeong Seok Kim
Juneho Yi
AAML
8
2
0
06 Oct 2023
Deep Industrial Image Anomaly Detection: A Survey
Deep Industrial Image Anomaly Detection: A Survey
Jiaqi Liu
Guoyang Xie
Jingbao Wang
Shangwen Li
Chengjie Wang
Feng Zheng
Yaochu Jin
19
167
0
27 Jan 2023
ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly
  Detection
ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly Detection
Peng-Fei Xing
Hao Tang
Jinhui Tang
Zechao Li
9
5
0
19 Oct 2022
Every Annotation Counts: Multi-label Deep Supervision for Medical Image
  Segmentation
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
74
60
0
27 Apr 2021
1