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Inverse Meets Distillation: Heterogeneous Teacher–Assistant Dual-Path Learning for Unsupervised Defect Detection

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Bibliographic Details
Published in:Journal of Artificial Intelligence and Soft Computing Research
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Artificial Intelligence and Soft Computing Research
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:43031
institution FRELIP
journal_source_facet Journal of Artificial Intelligence and Soft Computing Research
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Inverse Meets Distillation: Heterogeneous Teacher–Assistant Dual-Path Learning for Unsupervised Defect Detection
— — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display — — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
— — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
subject_facet — — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
title Inverse Meets Distillation: Heterogeneous Teacher–Assistant Dual-Path Learning for Unsupervised Defect Detection
title_auth Inverse Meets Distillation: Heterogeneous Teacher–Assistant Dual-Path Learning for Unsupervised Defect Detection
title_full Inverse Meets Distillation: Heterogeneous Teacher–Assistant Dual-Path Learning for Unsupervised Defect Detection
title_fullStr Inverse Meets Distillation: Heterogeneous Teacher–Assistant Dual-Path Learning for Unsupervised Defect Detection
title_full_unstemmed Inverse Meets Distillation: Heterogeneous Teacher–Assistant Dual-Path Learning for Unsupervised Defect Detection
title_short Inverse Meets Distillation: Heterogeneous Teacher–Assistant Dual-Path Learning for Unsupervised Defect Detection
title_sort inverse meets distillation: heterogeneous teacher–assistant dual-path learning for unsupervised defect detection
topic — — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
url https://sciendo.com/article/10.2478/jaiscr-2026-0014