Age Estimation on ChaLearn (test)
25.514e-errorBridgeNet
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| BridgeNetPretrain Set=IMDB-WIKI, Network=VGG-16, # of Networks=12019.04 | 25.514 | 2.87 | |
| Tan et al.Pretrain Set=IMDB-WIKI, Network=VGG-16, # of Networks=82019.04 | 26.3547 | 2.94 | |
| CVL_ETHZPretrain Set=IMDB-WIKI, Network=VGG-16, # of Networks=202019.04 | 26.4975 | — | |
| ICT-VIPLPretrain Set=MORPH, CACD, et al., Network=GoogleNet, # of Networks=82019.04 | 27.0685 | — | |
| VGG (softmax, Exp)citation_id=[30], external_data=IMDB-WIKI, pre_trained=VGG-Nets2016.11 | 28 | 3.22 | |
| VGG (softmax, Exp)citation_id=[31], external_data=IMDB-WIKI, pre_trained=VGG-Nets2016.11 | 28 | 3.25 | |
| WVU_CVLPretrain Set=MORPH, CACD, et al., Network=GoogleNet, # of Networks=52019.04 | 29.4835 | — | |
| SEU_NJUPretrain Set=FG-NET, MORPH, et al., Network=GoogleNet, # of Networks=62019.04 | 30.5763 | — | |
| DLDL+VGG-Faceloss_function=KL, prediction_method=Exp, pre_trained=VGG-Face2016.11 | 31 | 3.51 | |
| DLDL+VGG-Faceloss_function=KL, prediction_method=Max, pre_trained=VGG-Face2016.11 | 32 | 3.62 | |
| Human2019.04 | 34 | — | |
| DLDLloss_function=KL, prediction_method=Max2016.11 | 44 | 5.49 | |
| DLDLloss_function=KL, prediction_method=Exp2016.11 | 44 | 5.34 | |
| ConvNet+LDloss_function=a-div, prediction_method=Exp2016.11 | 46 | 5.69 | |
| R-ConvNetloss_function=l12016.11 | 47 | 5.62 | |
| ConvNet+LDloss_function=a-div, prediction_method=Max2016.11 | 47 | 5.95 | |
| R-ConvNetloss_function=e-ins2016.11 | 48 | 5.71 | |
| R-ConvNetloss_function=l22016.11 | 50 | 5.94 | |
| VGG (softmax, Exp)citation_id=[30], pre_trained=VGG-Nets2016.11 | 51 | 6.08 | |
| BFGS-LDLloss_function=KL, prediction_method=Exp2016.11 | 53 | 6.79 | |
| BFGS-LDLloss_function=KL, prediction_method=Max2016.11 | 57 | 7.81 | |
| C-ConvNetloss_function=softmax, prediction_method=Exp2016.11 | 58 | 7.95 | |
| ConvNet+LSloss_function=KL, prediction_method=Max2016.11 | 59 | 8.64 | |
| C-ConvNetloss_function=softmax, prediction_method=Max2016.11 | 63 | 9.48 | |
| ConvNet+LSloss_function=KL, prediction_method=Exp2016.11 | 77 | 11.58 |