Face Image Quality Assessment
14 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Face Image Quality Assessment
PIQ23
Most implemented papers
Considerations on the Evaluation of Biometric Quality Assessment Algorithms
Additionally, a discard fraction limit or range must be selected to compute pAUC values, which can then be used to quantitatively rank quality assessment algorithms.
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models
In this paper, we present a powerful new FIQA approach, named DifFIQA, which relies on denoising diffusion probabilistic models (DDPM) and ensures highly competitive results.
Optimization-Based Improvement of Face Image Quality Assessment Techniques
lsibabnikz/optimization-based-improvement-of-fiqa-techniques
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To help improve the performance and stability of FR systems in such unconstrained settings, face image quality assessment (FIQA) techniques try to infer sample-quality information from the input face images that can aid with the recognition process.
Double Trouble? Impact and Detection of Duplicates in Face Image Datasets
Additional steps based on face recognition and face image quality assessment models reduce false positives, and facilitate the deduplication of the face images both for intra- and inter-subject duplicate sets.
