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Face Identification
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Face identification is the task of matching a given face image to one in an existing database of faces. It is the second part of face recognition (the first part being detection). It is a one-to-many mapping: you have to find an unknown person in a database to find who that person is.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Face Identification Proficiency Test Designed Using Item Response Theory
Demographic Fairness in Face Identification: The Watchlist Imbalance Effect
Face Attributes as Cues for Deep Face Recognition Understanding
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study
Face-GCN: A Graph Convolutional Network for 3D Dynamic Face Identification/Recognition
Towards On-Device Face Recognition in Body-worn Cameras
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
ClusterFace: Joint Clustering and Classification for Set-Based Face Recognition
Reconstructing A Large Scale 3D Face Dataset for Deep 3D Face Identification
Partial FC: Training 10 Million Identities on a Single Machine
Taking Modality-free Human Identification as Zero-shot Learning
BWCFace: Open-set Face Recognition using Body-worn Camera
Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors
DeepFake Detection Based on the Discrepancy Between the Face and its Context
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition
Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors
Unified Representation Learning for Cross Model Compatibility
Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition
Nested Learning For Multi-Granular Tasks
Deep Polynomial Neural Networks
A Multi-Task Comparator Framework for Kinship Verification
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition
SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition
Editable Neural Networks
MarginDistillation: distillation for margin-based softmax
Single Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined
M^2 Deep-ID: A Novel Model for Multi-View Face Identification Using Convolutional Deep Neural Networks
An adversarial learning framework for preserving users' anonymity in face-based emotion recognition
Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning
VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition
Attentional Feature-Pair Relation Networks for Accurate Face Recognition
Primate Face Identification in the Wild
Robustness Analysis of Face Obscuration
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