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Abstract: Fine-grained image classification (FGIC) remains a challenging task due to subtle inter-class differences and significant intra-class variations, particularly under limited training data.
Abstract: In this paper, the problem of image edge blurring caused by insufficient interlayer information in thick CT images in solid rocket motor grain defect detection is discussed. The existing ...
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