Lightweight transfer learning for weathering pattern recognition in stone cultural heritage: validation at Yungang Grottoes
This study proposes a transfer learning framework using four lightweight pre-trained architectures (DenseNet-121, Inception-v3, MobileNet-v3-small, and ResNet-18), adapted through fine-tuning and iterative L1 pruning for efficient weathering pattern classification, providing an efficient framework for field monitoring...