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Sipho G. Thango

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Open access Oct 2026

Assessment of Convolutional Neural Network and Vision Transformer Architectures for Structural Surface Classification

We evaluate ten convolutional neural networks (CNNs) and ten transformer/attention architectures for nine-category surface classification using 41,756 balanced StructDamage images. A frozen ImageNet-pretrained ResNet18 encoder and learned head use 33,352 training, 4202 validation and 4202 test images grouped by inferre...

B. Thango, Sipho G. Thango · 0 citations
Open access Sep 2026

Deep Learning for Surface-Conditioned Structural Crack Recognition: Integrating CNN-Attention Models and Calibrated Confidence Estimation

The supplied 49,124-image StructDamage collection, containing nine surface categories and 4586 masonry-focused images, is evaluated to support a reproducible surface-category benchmark and an audit of its limitations, not validated crack geometry, mechanism, dimensional measurement, or field safety assessment.

B. Thango, Sipho G. Thango · 0 citations

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