List your company

Face Identification on IJB-A (test)

97.5Rank-1L2-softmax
13.46835.28457.178.916Dec 15, 2016Jan 1, 2017Jan 18, 2017Feb 4, 2017Feb 21, 2017Mar 10, 2017Mar 28, 2017

Evaluation results

MethodLinks
L2-softmaxBackbone=ResNeXt-1012017.0397.590.395.599—
L2-softmaxBackbone=ResNet-1012017.0397.389.595.398.7—
L2-softmaxBackbone=ResNeXt-101, Template Pooling Encoding=true2017.0397.391.595.698.8—
L2-softmaxBackbone=ResNet-101, Template Pooling Encoding=true2017.0397.19195.698.6—
TDFF2017.0396.487.894.199.2—
TDFF + TPETemplate Pooling Encoding=true2017.0396.488.19499.2—
L2-softmaxProtocol=FR2017.0396.385.29398.6—
L2-softmaxProtocol=FR, Template Pooling Encoding=true2017.0396.187.393.198.3—
NAN2017.0395.881.791.798.6—
softmaxProtocol=FR2017.0395.378.889.298.4—
All-In-One Face2017.0394.779.288.798.8—
Triplet Embedding2017.0393.275.386.397.7—
Template Adaptation2017.0392.877.488.298.6—
VGG-Face2017.0391.3466798.1—
Masi et al.2017.0390.6——97.7—
AugNet3D Shape=No, Texture=No2016.1290.6——97.796.2
Chen et al.2017.0390.357.77997.7—
DCNN_manual+metric2017.0385.2——95.4—
Deep Multi-Pose2017.0384.6527594.7—
Pose-Aware Models2017.0384——94.6—
LSFS2017.038238.361.3——
CNN3DMM3D Shape=Yes, Texture=Yes, Protocol=pool2016.1276.2——92.989.7
CNN3DMM3D Shape=Yes, Texture=No, Protocol=pool2016.1272.3——91.888
CNN3DMM3D Shape=No, Texture=Yes, Protocol=pool2016.1270.9——91.587.3
B-CNN2017.0358.814.334.1——
3DMM*+pool3D Shape=Yes, Texture=Yes2016.1257.2——80.574.4
3DMM*+pool3D Shape=No, Texture=Yes2016.1249.8——76.869.5
GOTS2017.0344.34.723.5——
3DMM*+pool3D Shape=Yes, Texture=No2016.1234.3——65.155.1
3DDFA+pool3D Shape=Yes, Texture=No2016.1216.7——51.338.3