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Hybrid CNN-Transformer models for industrial defect detection: A systematic review

A systematic review article about hybrid convolutional neural network–transformer approaches for industrial defect detection. Published by Elsevier BV on 2026-03-01; the supplied excerpt included no additional details.

Categories: technology, science-and-space

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence
3/10
Geographic reach
1/10
Global importance
3/10
Impact magnitude
3/10
Positivity
6/10
Urgency
1/10

Why it matters

The article reports a systematic review of methods that address industrial defect detection using hybrid CNN-Transformer architectures.

Sources

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