HIGHLIGHTS
- who: Junwei Yu and collaborators from the School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou, China have published the article: FESNet: Frequency-Enhanced Saliency Detection Network for Grain Pest Segmentation, in the Journal: (JOURNAL) of 18/Dec/2021
- what: Inspired by the human visual attention mechanism the authors propose a U-net-like frequency-enhanced saliency (FESNet) detection model resulting in the pixelwise segmentation of grain pests. The authors design a with the discrete wavelet transformation (DWT) and the discrete cosine transformation (DCT) both involved in the traditional convolution layers. The . . .
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