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.
A novel deep-wide learning assistance, DeWi, that simultaneously improves the discrimination and generalization capabilities of convolutional neural networks for accurate insect pest classification.