Search Results for author:
Found 7 papers, 1 papers with code
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
Aiming to enhance the utilization of metric space by the parametric softmax classifier, recent studies suggest replacing it with a non-parametric alternative.
Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting
Deep convolutional neural networks have achieved remarkable success in face recognition (FR), partly due to the abundant data availability.
CCFace: Classification Consistency for Low-Resolution Face Recognition
However, these methods have shown a significant decline in performance when applied to real-world low-resolution benchmarks like TinyFace or SCFace.
AAFACE: Attribute-aware Attentional Network for Face Recognition
In this paper, we present a new multi-branch neural network that simultaneously performs soft biometric (SB) prediction as an auxiliary modality and face recognition (FR) as the main task.
A Quality Aware Sample-to-Sample Comparison for Face Recognition
Our method adaptively finds and assigns more attention to the recognizable low-quality samples in the training datasets.
Pose Attention-Guided Profile-to-Frontal Face Recognition
Second, we develop a novel pose attention block (PAB) to specially guide the pose-agnostic feature extraction from profile faces.
Information Maximization for Extreme Pose Face Recognition
In this paper, we seek to draw connections between the frontal and profile face images in an abstract embedding space.
