Image Classification on ILSVRC (val)
15.47Top-1 ErrorGoogLeNet-SPG
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GoogLeNet-SPGClassification Backbone=DPN-ensemble2018.07 | 15.47 | 2.7 | |
| ACoLLocalization Architecture=VGGnet, Classification Architecture=DPN-ensemble, ensemble=true2018.04 | 15.47 | 2.7 | |
| ACoLLocalization Architecture=VGGnet, Classification Architecture=DPN-ensemble, ensemble=true, Top-3 selection strategy=true2018.04 | 15.47 | 2.7 | |
| GoogLeNet-SPGClassification Backbone=DPN-1312018.07 | 17.08 | 3.42 | |
| ACoLLocalization Architecture=VGGnet, Classification Architecture=DPN-1312018.04 | 17.08 | 3.42 | |
| GoogLeNet-SPGClassification Backbone=DPN-982018.07 | 17.42 | 3.67 | |
| ACoLLocalization Architecture=VGGnet, Classification Architecture=DPN-982018.04 | 17.42 | 3.67 | |
| GoogLeNet-SPGClassification Backbone=DPN-922018.07 | 17.7 | 3.83 | |
| ACoLLocalization Architecture=VGGnet, Classification Architecture=DPN-922018.04 | 17.7 | 3.83 | |
| VGGNumber of networks (ensemble size)=2 nets, Evaluation protocol (multi-crop/dense evaluation)=multi-crop & dense eval.2014.09 | 23.7 | 6.8 | |
| GoogLeNet-SPGClassification Backbone=ResNet-1522018.07 | 24.39 | 7.59 | |
| ACoLLocalization Architecture=VGGnet, Classification Architecture=ResNet-1522018.04 | 24.39 | 7.59 | |
| VGGNumber of networks (ensemble size)=1 net, Evaluation protocol (multi-crop/dense evaluation)=multi-crop & dense eval.2014.09 | 24.4 | 7.1 | |
| VGGNumber of networks (ensemble size)=7 nets, Evaluation protocol (multi-crop/dense evaluation)=dense eval. (ILSVRC submission)2014.09 | 24.7 | 7.5 | |
| GoogLeNet-SPGClassification Backbone=ResNet-1012018.07 | 24.9 | 7.8 | |
| ACoLLocalization Architecture=VGGnet, Classification Architecture=ResNet-1012018.04 | 24.9 | 7.8 | |
| GoogLeNet-SPGClassification Backbone=ResNet-502018.07 | 26.22 | 8.47 | |
| ACoLLocalization Architecture=VGGnet, Classification Architecture=ResNet-502018.04 | 26.22 | 8.47 | |
| MSRANumber of networks (ensemble size)=1 net2014.09 | 27.9 | 9.1 | |
| OverFeatNumber of networks (ensemble size)=7 nets2014.09 | 34 | 13.2 | |
| CurriculumNetTraining Data=WebVision training set2018.08 | 35.2 | 15.1 | |
| OverFeatNumber of networks (ensemble size)=1 net2014.09 | 35.7 | 14.2 | |
| Zeiler & FergusNumber of networks (ensemble size)=6 nets2014.09 | 36 | 14.7 | |
| CleanNetTraining Data=WebVision training set2018.08 | 36.6 | 15.4 | |
| Our BaselineTraining Data=WebVision training set2018.08 | 37.1 | 16.4 | |
| Zeiler & FergusNumber of networks (ensemble size)=1 net2014.09 | 37.5 | 16 | |
| MentorNetTraining Data=WebVision training set2018.08 | 37.5 | 17 | |
| Krizhevsky et al.Number of networks (ensemble size)=5 nets2014.09 | 38.1 | 16.4 | |
| Krizhevsky et al.Number of networks (ensemble size)=1 net2014.09 | 40.7 | 18.2 | |
| BaselineTraining Data=WebVision training set2018.08 | 41.1 | 20.2 |