This paper presents Transferable Swin Transformer (TST), focusing the proposed method on region-based adversarial alignment and the semantic-based subdomain ...
An average accuracy of 95.07% was obtained with the defective tire dataset. The same authors present a Transferable Swin Transformer-based method [19] for ...
Tire defect detection by dual-domain adaptation-based transfer learning strategy ... Domain adaptation via Transferable Swin Transformer for tire defect detection.
The same authors present a Transferable Swin Transformer-based method [19] for tire defect detection under domain shift conditions. The Swin Transformer is used ...
The same authors present a Transferable Swin Transformer-based method [19] for tire defect detection under domain shift conditions. The Swin Transformer is used ...
Oct 29, 2021 · Domain adaptation via Transferable Swin Transformer for tire defect detection. Abstract. In data-driven tire defect detection, scarce defect ...
Domain adaptation via Transferable Swin Transformer for tire defect detection. Engineering Applications of Artificial Intelligence. 2023-06 | Journal article.
6 days ago · Domain adaptation via Transferable Swin Transformer for tire defect detection. Engineering Applications of Artificial Intelligence, 122 ...
We use several mainstream vision transformers such as SWIM [47] BOAT [48] and TVT [37] with a patch size of 16×16 as the feature extractors to evaluate the ...
Missing: defect | Show results with:defect
Swin transformer: Hierarchical vision transformer using shifted windows. ... Domain adaptation via bidirectional cross-attention trans- former. arXiv ...