Fine-tuning lightweight vision transformers, especially MobileViT s, achieves 99.43% accuracy on mango leaf disease classification while keeping the model small enough for low-end devices.
Rethinking cooking state recognition with vision transformers,
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MangoLeafViT: Leveraging Lightweight Vision Transformer with Runtime Augmentation for Efficient Mango Leaf Disease Classification
Fine-tuning lightweight vision transformers, especially MobileViT s, achieves 99.43% accuracy on mango leaf disease classification while keeping the model small enough for low-end devices.