Dual Variational Generation for Low-Shot Heterogeneous Face Recognition

25 Mar 2019Chaoyou FuXiang WuYibo HuHuaibo HuangRan He

Heterogeneous Face Recognition (HFR) is a challenging issue because of the large domain discrepancy and a lack of heterogeneous data. This paper considers HFR as a dual generation problem, and proposes a novel Dual Variational Generation (DVG) framework... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Face Verification BUAA-VisNir LightCNN-29 + DVG TAR @ FAR=0.001 97.3 # 1
TAR @ FAR=0.01 98.5 # 1
Face Verification CASIA NIR-VIS 2.0 LightCNN-29 + DVG TAR @ FAR=0.001 99.8 # 1
Face Verification IIIT-D Viewed Sketch LightCNN-29 + DVG TAR @ FAR=0.01 97.86 # 1
Face Verification Oulu-CASIA NIR-VIS LightCNN-29 + DVG TAR @ FAR=0.001 92.9 # 1
TAR @ FAR=0.01 98.5 # 1

Methods used in the Paper