Git Loss for Deep Face Recognition

23 Jul 2018Alessandro CalefatiMuhammad Kamran JanjuaShah NawazIgnazio Gallo

Convolutional Neural Networks (CNNs) have been widely used in computer vision tasks, such as face recognition and verification, and have achieved state-of-the-art results due to their ability to capture discriminative deep features. Conventionally, CNNs have been trained with softmax as supervision signal to penalize the classification loss... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Face Verification Labeled Faces in the Wild Git Loss Accuracy 99.30% # 8
Face Verification YouTube Faces DB Git Loss Accuracy 95.30% # 6