Adding a frozen FMCE convergence-score head with a tuned weight can improve image-classification accuracy by up to about 1.16 percentage points, but the paper's own equations and tables conflict.
Explainable arti- ficial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions,
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FMCE-Net++: Feature Map Convergence Evaluation and Training
Adding a frozen FMCE convergence-score head with a tuned weight can improve image-classification accuracy by up to about 1.16 percentage points, but the paper's own equations and tables conflict.