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Balanced Channel-Spatial Attention Boosts Convolutional Neural Network
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BIOENGINEER.ORGBalanced Channel-Spatial Attention Boosts Convolutional Neural Network
A team of researchers in China has developed a new attention mechanism for convolutional neural networks that promises to make artificial intelligence systems both more accurate and dramatically more efficient, by treating two fundamental aspects of visual information as equally important for the first time. The method, called Dual-Domain Balanced Channel-Spatial Mixed Attention, or DBCSMA, […]
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