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...