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näkemys - Insect Pest Classification
Comprehensive Insect Pest Classification with Integrated Visual Encoding Strategies
A novel approach, InsectMamba, that integrates State Space Models, Convolutional Neural Networks, Multi-Head Self-Attention, and Multilayer Perceptrons to effectively capture comprehensive visual features for accurate insect pest classification.
Efficient Deep-Wide Learning Assistance for Accurate Insect Pest Classification
A novel deep-wide learning assistance, DeWi, that simultaneously improves the discrimination and generalization capabilities of convolutional neural networks for accurate insect pest classification.