Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets
cs.CV, cs.LG
Submitted: 2026-05-28
Updated: 2026-05-28
Terminology
Sources
- X-Factor: Quality Is a Dataset-Intrinsic Property
- Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods
- An Embedding is Worth a Thousand Noisy Labels
- Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
- Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
- Deep Residual Learning for Image Recognition
- Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
- Matrix Information Theory for Self-Supervised Learning
- PaCo-FR: Patch-Pixel Aligned End-to-End Codebook Learning for Facial Representation Pre-training
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