A soft-gated MoE combining EfficientNet-B0, DenseNet-121, and Swin-Tiny reports 92.62% F1-score on an imbalanced potato leaf disease dataset, outperforming single models by 5%.
A novel dataset of potato leaf disease in uncontrolled environment
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A DenseNet201 base model trained on a constructed plant leaf disease dataset outperforms baselines and enables faster, more robust transfer learning with less data than general models.
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Cross-Architectural Mixture-of-Experts with Adaptive Soft Routing for Plant Leaf Disease Classification
A soft-gated MoE combining EfficientNet-B0, DenseNet-121, and Swin-Tiny reports 92.62% F1-score on an imbalanced potato leaf disease dataset, outperforming single models by 5%.
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Developing a Strong Pre-Trained Base Model for Plant Leaf Disease Classification
A DenseNet201 base model trained on a constructed plant leaf disease dataset outperforms baselines and enables faster, more robust transfer learning with less data than general models.