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Attention mechanisms are pivotal for enhancing deep convolutional neural networks (CNNs) in computer vision, yet existing methods often inadequately leverage spatial information, reduce channel dimensions, or escalate network complexity—challenges exacerbated by Transformer-like quadratic costs. This paper introduces efficient localization attention (ELA), a novel, lightweight module that ...
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