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College of Electronic Science and Technology, National University of Defense Technology, Changsha, China
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Achieve VGG16-level SAR image recognition accuracy with 83x fewer FLOPs and 164x fewer parameters by replacing convolutions with parameter-sharing KANs using Gram Polynomial activations.