Abnormity detection based on fusion feature distribution learning and image reconstruction
Object Detection|更新时间:2024-08-16
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Abnormity detection based on fusion feature distribution learning and image reconstruction
“In the field of industrial product defect detection, researchers have proposed a method that combines features and reconstruction to effectively improve the accuracy of defect detection and localization, opening up new directions for research in this field.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 8, Pages: 1116-1127(2024)
作者机构:
武汉科技大学 信息科学与工程学院, 湖北 武汉 430070
作者简介:
基金信息:
National Natural Science Foundation of China(62173262)
ZHU Siyu, ZHU Lei, WANG Wenwu, et al. Abnormity detection based on fusion feature distribution learning and image reconstruction[J]. Chinese journal of liquid crystals and displays, 2024, 39(8): 1116-1127.
DOI:
ZHU Siyu, ZHU Lei, WANG Wenwu, et al. Abnormity detection based on fusion feature distribution learning and image reconstruction[J]. Chinese journal of liquid crystals and displays, 2024, 39(8): 1116-1127. DOI: 10.37188/CJLCD.2023-0304.
Abnormity detection based on fusion feature distribution learning and image reconstruction