Learning Steadily: Accumulating Relative Point Margin Scores for Face Image Quality Assessment

arXiv:2609.31662 · cs.CV, cs.LG · Submitted 2026-09-15 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-15

Updated: 2026-09-15

Terminology

Benchmark — 41× in this paper · explained in 2 episodes
AUC — 17× in this paper · explained in 2 episodes
Clustering — 17× in this paper · explained in 2 episodes
Image Quality Assessment — 16× in this paper
Face Image Quality Assessment — 13× in this paper
Embeddings — 10× in this paper · explained in 2 episodes
Verification — 9× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 5× in this paper
Robustness — 5× in this paper · explained in 5 episodes
Transformer — 4× in this paper · explained in 2 episodes
Convergence Guarantees — 3× in this paper · explained in 3 episodes
Loss Function — 3× in this paper · explained in 2 episodes
Ablation — 2× in this paper · explained in 1 episode
Accuracy — 2× in this paper · explained in 1 episode
Area Under the Curve — 2× in this paper
Axioms — 2× in this paper · explained in 2 episodes
CVF International Conference on Computer Vision — 2× in this paper
Computer Vision and Pattern Recognition Workshops — 2× in this paper
Cumulative Average of Relative Point Margin — 2× in this paper
Generalizability — 2× in this paper · explained in 6 episodes
Selection Bias — 2× in this paper · explained in 4 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Adaptive Weighting — 1× in this paper · explained in 1 episode
Adversarial Noise — 1× in this paper · explained in 1 episode
Adversarial Robustness — 1× in this paper · explained in 3 episodes
Aggregation — 1× in this paper · explained in 1 episode
Analyzer — 1× in this paper · explained in 1 episode
Area Under the Curve (AUC) — 1× in this paper · explained in 1 episode
Calibration — 1× in this paper · explained in 7 episodes
Closest Class Similarity — 1× in this paper
Consistency — 1× in this paper · explained in 3 episodes
Core — 1× in this paper · explained in 2 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Diffusion Model — 1× in this paper · explained in 8 episodes
Diffusion Models — 1× in this paper · explained in 6 episodes
Digital Object Identifier — 1× in this paper
Distillation — 1× in this paper · explained in 2 episodes
Error-versus-Discard Characteristic — 1× in this paper
False Match Rate — 1× in this paper
False Non-Match Rate — 1× in this paper
Knowledge Distillation — 1× in this paper · explained in 11 episodes
Labeled Faces in the Wild — 1× in this paper
Self-Supervised Learning — 1× in this paper · explained in 7 episodes
Systematic Bias — 1× in this paper · explained in 3 episodes

Terminology

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