SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness

20 Mar 2020Philipp TerhörstJan Niklas KolfNaser DamerFlorian KirchbuchnerArjan Kuijper

Face image quality is an important factor to enable high performance face recognition systems. Face quality assessment aims at estimating the suitability of a face image for recognition... (read more)

PDF Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Face Quality Assessement Adience SER-FIQ (same model) on FaceNet Equal Error Rate 0.026 # 1
Face Quality Assessement LFW SER-FIQ (same model) on ArcFace Equal Error Rate 0.007 # 1

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet