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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significance test » significance set (Expand Search), significance testing (Expand Search), significance level (Expand Search)
test decrease » teer decrease (Expand Search), cost decreased (Expand Search), mean decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significance test » significance set (Expand Search), significance testing (Expand Search), significance level (Expand Search)
test decrease » teer decrease (Expand Search), cost decreased (Expand Search), mean decrease (Expand Search)
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Accuracy test results.
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. …”
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