A validation-free metric combining neighbor-consistency and effective rank to estimate face recognition dataset quality for downstream model performance.
Using representation expressiveness and learnability to evaluate self-supervised learning methods
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Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets
A validation-free metric combining neighbor-consistency and effective rank to estimate face recognition dataset quality for downstream model performance.