Information Maximization for Long-Tailed Semi-Supervised Domain Generalization
Information Maximization for Long-Tailed Semi-Supervised Domain Generalization explores IMaX enhances semi-supervised domain generalization by maximizing mutual information to handle long-tailed class distributions, improving performance in real-world image classification tasks.. Commercial viability score: 7/10 in Domain Generalization.
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