A DualModeAttention (DMA) method is proposed, which adaptive captures the featured salient regions of rice disease images in diversity of rice diseases and complex backgrounds by calculating the similarity weight corresponding to each spatial position to improve the detection accuracy of rice mode
We introduce MTFC to improve the network’s capability in processing complex features of long sequences. This approach involves taking input time series in two dimensions—time step and feature—and performing multi-scale convolution and gated convolution operations. This methodology allows for a mor
A DualModeAttention (DMA) method is proposed, which adaptive captures the featured salient regions of rice disease images in diversity of rice diseases and complex backgrounds by calculating the similarity weight corresponding to each spatial position to improve the detection accuracy of rice mode...
We introduce MTFC to improve the network’s capability in processing complex features of long sequences. This approach involves taking input time series in two dimensions—time step and feature—and performing multi-scale convolution and gated convolution operations. This methodology allows for a mor...
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