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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 ...

TIOBE Index for March 2026: Top 10 Most Popular Programming Languages Your email has been sent Python keeps the top spot as its rating dips again, C climbs further in second, and the bottom stays ...