Probabilistic Principal Geodesic Deep Metric Learning

Deep Metric Learning with Manifold Class Variability Analysis

Zero-Shot Knowledge Distillation Using Label-Free Adversarial Perturbation With Taylor Approximation

Metric-Based Attention Feature Learning for Video Action Recognition

Object Detection Using Improved Bi-Directional Feature Pyramid Network

Virtual sample-based deep metric learning using discriminant analysis

Multimodal Attention Network for Continuous-Time Emotion Recognition Using Video and EEG Signals

Eye pupil localization algorithm using convolutional neural networks

Semi-supervised learning for facial expression-based emotion recognition in the continuous domain

Filter Pruning and Re-Initialization via Latent Space Clustering