Surveillance-to-Surveillance
2 papers with code • 1 benchmarks • 1 datasets
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Most implemented papers
AdaFace: Quality Adaptive Margin for Face Recognition
In this work, we introduce another aspect of adaptiveness in the loss function, namely the image quality.
Cluster and Aggregate: Face Recognition with Large Probe Set
Advances in attention and recurrent modules have led to feature fusion that can model the relationship among the images in the input set.