Discovering Interpretable Feature Directions in the Embedding Space of Face Recognition Models
International Joint Conference on Biometrics（2024）
Key words
Face Recognition,Space Model,Latent Space,Directions In Space,Face Recognition Model,Neural Network,Facial Features,Meaningful Features,Model Explainability,Centroid,Decoding,Eigenvectors,Facial Expressions,Visual Features,Deep Features,Face Images,Image Space,Imaging Probes,Labeled Data Set,Saliency Map,Facial Recognition Technology,Template Space,Categories Of Techniques,Discovery Of Features,Eye Region,Facial Structure,Decoding Model,Organization Of Space,Direct Illumination,Linear Regression
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