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Age Estimation on ChaLearn (test)

25.514e-errorBridgeNet
23.4545637.3557851.25765.15822Nov 6, 2016Apr 1, 2017Aug 26, 2017Jan 20, 2018Jun 16, 2018Nov 10, 2018Apr 6, 2019
Updated 8mo ago

Evaluation results

MethodLinks
BridgeNetPretrain Set=IMDB-WIKI, Network=VGG-16, # of Networks=12019.0425.5142.87
Tan et al.Pretrain Set=IMDB-WIKI, Network=VGG-16, # of Networks=82019.0426.35472.94
CVL_ETHZPretrain Set=IMDB-WIKI, Network=VGG-16, # of Networks=202019.0426.4975—
ICT-VIPLPretrain Set=MORPH, CACD, et al., Network=GoogleNet, # of Networks=82019.0427.0685—
VGG (softmax, Exp)citation_id=[30], external_data=IMDB-WIKI, pre_trained=VGG-Nets2016.11283.22
VGG (softmax, Exp)citation_id=[31], external_data=IMDB-WIKI, pre_trained=VGG-Nets2016.11283.25
WVU_CVLPretrain Set=MORPH, CACD, et al., Network=GoogleNet, # of Networks=52019.0429.4835—
SEU_NJUPretrain Set=FG-NET, MORPH, et al., Network=GoogleNet, # of Networks=62019.0430.5763—
DLDL+VGG-Faceloss_function=KL, prediction_method=Exp, pre_trained=VGG-Face2016.11313.51
DLDL+VGG-Faceloss_function=KL, prediction_method=Max, pre_trained=VGG-Face2016.11323.62
Human2019.0434—
DLDLloss_function=KL, prediction_method=Max2016.11445.49
DLDLloss_function=KL, prediction_method=Exp2016.11445.34
ConvNet+LDloss_function=a-div, prediction_method=Exp2016.11465.69
R-ConvNetloss_function=l12016.11475.62
ConvNet+LDloss_function=a-div, prediction_method=Max2016.11475.95
R-ConvNetloss_function=e-ins2016.11485.71
R-ConvNetloss_function=l22016.11505.94
VGG (softmax, Exp)citation_id=[30], pre_trained=VGG-Nets2016.11516.08
BFGS-LDLloss_function=KL, prediction_method=Exp2016.11536.79
BFGS-LDLloss_function=KL, prediction_method=Max2016.11577.81
C-ConvNetloss_function=softmax, prediction_method=Exp2016.11587.95
ConvNet+LSloss_function=KL, prediction_method=Max2016.11598.64
C-ConvNetloss_function=softmax, prediction_method=Max2016.11639.48
ConvNet+LSloss_function=KL, prediction_method=Exp2016.117711.58