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This document discusses a method for insect pest image detection and recognition using bio-inspired and convolutional neural network approaches. Specifically, it proposes using saliency methods to highlight important pixels in images as a form of data augmentation. Multiple convolutional neural networks are then trained on the original and augmented image data. The performance of individual networks and ensembles of networks is evaluated on two datasets - a smaller dataset with 10 classes and 72-59 images p

Author

abd max

Language

EN