Face Identification
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Benchmarks
Most implemented
FaceNet: A Unified Embedding for Face Recognition and Clustering
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
SphereFace: Deep Hypersphere Embedding for Face Recognition
A Light CNN for Deep Face Representation with Noisy Labels
Network In Network
CosFace: Large Margin Cosine Loss for Deep Face Recognition
Papers
Rank-1 Identity Consensus Predicts Gallery Enrollment in 1:N Face Matching More Accurately than Score Thresholding
In operational 1:N face identification, a crucial question arises for each probe: is this person enrolled in the gallery or not? The stakes are high and asymmetric. Rejecting a mate-present (MP) probe loses a valid lead;…
Face IdentificationHuman face perception reflects inverse-generative and naturalistic discriminative objectives
The perceptual representations supporting our ability to recognize faces remain a computational mystery. Deep neural networks offer mechanistic hypotheses for human face perception, but theoretically distinct models ofte…
Face IdentificationInverse RenderingAre Face Embeddings Compatible Across Deep Neural Network Models?
Automated face recognition has made rapid strides over the past decade due to the unprecedented rise of deep neural network (DNN) models that can be trained for domain-specific tasks. At the same time, foundation models …
Face IdentificationFace RecognitionPoint CloudsSPOT-Face: Forensic Face Identification using Attention Guided Optimal Transport
Person identification in forensic investigations becomes very challenging when common identification means for DNA (i.e., hair strands, soft tissue) are not available. Current methods utilize deep learning methods for fa…
Person IdentificationFace IdentificationFace RecognitionTwo-step Authentication: Multi-biometric System Using Voice and Facial Recognition
We present a cost-effective two-step authentication system that integrates face identification and speaker verification using only a camera and microphone available on common devices. The pipeline first performs face rec…
Speaker VerificationFace IdentificationFace RecognitionUnlocking the power of partnership: How humans and machines can work together to improve face recognition
Human review of consequential decisions by face recognition algorithms creates a "collaborative" human-machine system. Individual differences between people and machines, however, affect whether collaboration improves or…
Face IdentificationFace Recognition