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In this study, we examine the associations between channel features and convolutional kernels during the processes of feature purification and gradient backpropagation, with a focus on the forward and backward propagation within the network.
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Knowledge-guided semantic transfer network for few-shot image recognition
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Concrete crack detection using lightweight attention feature fusion single shot multibox detector
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