Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets 事件

Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets arXiv:2605.29720v1 Announce Type: new Abstract: We propose Intrinsic Quality (IQ), a validation-free metric designed to estimate the inherent potential of face recognition (FR) datasets to produce high-performance models without the need for full-scale training. IQ integrates two components: (i) a Neighbor-Consistency Score that quantifies local identity label agreement via nearest neighbors, and (