AINeutralarXiv – CS AI · Mar 34/104
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Leveraging Model Soups to Classify Intangible Cultural Heritage Images from the Mekong Delta
Researchers developed a new AI framework combining CoAtNet architecture with model soups technique to classify Intangible Cultural Heritage images from the Mekong Delta. The approach achieved 72.36% accuracy on the ICH-17 dataset, outperforming traditional models like ResNet-50 and ViT by reducing variance and improving generalization in low-resource settings.