SeqFace: Make full use of sequence information for face recognition

17 Mar 2018Wei HuYangyu HuangFan ZhangRuirui LiWei LiGuodong Yuan

Deep convolutional neural networks (CNNs) have greatly improved the Face Recognition (FR) performance in recent years. Almost all CNNs in FR are trained on the carefully labeled datasets containing plenty of identities... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Face Verification Labeled Faces in the Wild SeqFace Accuracy 99.03% # 17
Face Verification YouTube Faces DB SeqFace, 1 ResNet-64 Accuracy 98.12% # 1

Methods used in the Paper