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    Test results for P, R, F1, and OA. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”