The lineARN adaptive cross entropy loss, -(1-p) log p, is mathematically identical to focal loss with gamma=1 and shows a minor top-5 error improvement on CIFAR-100 over cross entropy.
Cross-entropy los s functions: Theoretical analysis and applications
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Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance
The lineARN adaptive cross entropy loss, -(1-p) log p, is mathematically identical to focal loss with gamma=1 and shows a minor top-5 error improvement on CIFAR-100 over cross entropy.