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Found 5 papers, 0 papers with code
Synthetic outlier generation for anomaly detection in autonomous driving
Anomaly detection, or outlier detection, is a crucial task in various domains to identify instances that significantly deviate from established patterns or the majority of data.
Rotational augmentation techniques: a new perspective on ensemble learning for image classification
The popularity of data augmentation techniques in machine learning has increased in recent years, as they enable the creation of new samples from existing datasets.
MFR 2021: Masked Face Recognition Competition
These teams successfully submitted 18 valid solutions.
Boosting Masked Face Recognition with Multi-Task ArcFace
Experimental results show that the proposed approach highly boosts the original model accuracy when dealing with masked faces, while preserving almost the same accuracy on the original non-masked datasets.
Efficient Large-Scale Face Clustering Using an Online Mixture of Gaussians
In this work, we address the problem of large-scale online face clustering: given a continuous stream of unknown faces, create a database grouping the incoming faces by their identity.
