NN2ViT: Neural Networks and Vision Transformers based approach for Visual Anomaly Detection in Industrial Images

Research article (Neurocomputing, 2024) · cited 11× · AI/ML
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NN2ViT: Neural Networks and Vision Transformers based approach for Visual Anomaly Detection in Industrial Images

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NN2ViT: Neural Networks and Vision Transformers based approach for Visual Anomaly Detection in Industrial Images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). NN2ViT: Neural Networks and Vision Transformers based approach for Visual Anomaly Detection in Industrial Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/nn2vit-neural-networks-and-vision-transformers-based-approach-for-visual-anomaly-detection-in-industrial-images
MLA “NN2ViT: Neural Networks and Vision Transformers based approach for Visual Anomaly Detection in Industrial Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/nn2vit-neural-networks-and-vision-transformers-based-approach-for-visual-anomaly-detection-in-industrial-images.
BibTeX @misc{4ortxyz_nn2vit-neural-networks-and-vision-transformers-based-approach-for-visual-anomaly-detection-in-industrial-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{NN2ViT: Neural Networks and Vision Transformers based approach for Visual Anomaly Detection in Industrial Images}}, year = {2026}, url = {https://4ort.xyz/entity/nn2vit-neural-networks-and-vision-transformers-based-approach-for-visual-anomaly-detection-in-industrial-images}, note = {Accessed: 2026-05-24}}
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