Using tanh-based normalization (called MPN) and Squeeze-and-Excitation attention, the authors report 93% classification accuracy and 72% Dice on a 1000-image betel leaf dataset.
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Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism
Using tanh-based normalization (called MPN) and Squeeze-and-Excitation attention, the authors report 93% classification accuracy and 72% Dice on a 1000-image betel leaf dataset.