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Symbiotic Convolution Block (SCB): An Implicit Feature Recalibration without Attention-Mechanism for Efficient CNNs in Image Classification

2026-08-03

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<title>Abstract</title> <p>Recent advances in Convolutional Neural Networks (CNNs) have been based on increasing depth, width, or cardinality to enhance network representational capacity. Moreover, manually designed attention modules, including Squeeze-and-Excitation (SE) and Convolutional Block Attention Module (CBAM), exploit channel and spatial dependencies by dynamically reweighting response features. However...

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Literature Corpus work: ab250935-b8c3-5492-8d92-174be8573a57
DOI: 10.21203/rs.3.rs-9737870/v1

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