Image Classification on ImageNet ILSVRC 2012 (val) with Compression Metrics
18.77Top-1 ErrorInception-v3
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Inception-v3Crops Evaluated=1442015.12 | 18.77 | 4.2 | — | — | — | — | — | — | |
| Inception-v3Crops Evaluated=122015.12 | 19.47 | 4.48 | — | — | — | — | — | — | |
| PReLU2015.12 | 21.59 | 5.71 | — | — | — | — | — | — | |
| BN-InceptionCrops Evaluated=1442015.12 | 22 | 5.82 | — | — | — | — | — | — | |
| Teacher ResNet-101Backbone=ResNet-101, Role=Teacher2019.11 | 22.68 | 6.58 | — | — | — | — | — | — | |
| Knowledge Representing (KR) framework + KDGANRole=Student, Combined with=KDGAN [30]2019.11 | 23.18 | 6.79 | — | — | — | — | — | — | |
| Knowledge Representing (KR) frameworkRole=Student2019.11 | 23.47 | 6.85 | — | — | — | — | — | — | |
| KDGANRole=Student2019.11 | 24.11 | 6.98 | — | — | — | — | — | — | |
| PReLUCrops Evaluated=102015.12 | 24.27 | 7.38 | — | — | — | — | — | — | |
| NTSRole=Student2019.11 | 24.34 | 7.11 | — | — | — | — | — | — | |
| VGG2015.12 | 24.4 | 6.8 | — | — | — | — | — | — | |
| FitNetRole=Student2019.11 | 25.3 | 7.93 | — | — | — | — | — | — | |
| Inception-BNBackbone=Inception-BN, Role=Student2019.11 | 25.74 | 8.07 | — | — | — | — | — | — | |
| BaselineModel=ResNet-342021.03 | 26.69 | 8.58 | — | — | 0 | 0 | 0 | — | |
| ManiDP-AModel=ResNet-34, Dynamic=true2021.03 | 26.7 | 8.58 | — | — | 0.01 | 0 | 46.8 | — | |
| LCCNModel=ResNet-34, Dynamic=true2021.03 | 27.01 | 8.81 | — | — | 0.32 | 0.23 | 24.8 | — | |
| TaylorModel=ResNet-34, Dynamic=false2021.03 | 27.17 | — | — | — | 0.48 | — | 24.2 | — | |
| ManiDP-BModel=ResNet-34, Dynamic=true2021.03 | 27.26 | 8.96 | — | — | 0.57 | 0.38 | 55.3 | — | |
| DMCModel=ResNet-34, Dynamic=false2021.03 | 27.43 | 8.89 | — | — | 0.74 | 0.31 | 43.4 | — | |
| FPGMModel=ResNet-34, Dynamic=false2021.03 | 27.46 | 8.87 | — | — | 0.77 | 0.29 | 41.1 | — | |
| SFPModel=ResNet-34, Dynamic=false2021.03 | 28.17 | 9.67 | — | — | 1.48 | 1.09 | 41.1 | — | |
| BaselineModel=MobileNetV22021.03 | 28.2 | 9.57 | — | — | 0 | 0 | 0 | — | |
| FBSModel=ResNet-34, Dynamic=true2021.03 | 28.34 | 9.87 | — | — | 1.85 | 1.29 | 51.2 | — | |
| ManiDP-AModel=MobileNetV2, Dynamic=true2021.03 | 28.58 | 9.72 | — | — | 0.38 | 0.15 | 37.2 | — | |
| CGNetModel=ResNet-34, Dynamic=true2021.03 | 28.7 | — | — | — | 2.01 | — | 50.4 | — | |
| MetaPModel=MobileNetV2, Dynamic=false2021.03 | 28.8 | — | — | — | 0.6 | — | 27.7 | — | |
| VGG-19 (FC FC FC)Architecture=FC FC FC, Backbone=VGG-192015.09 | 29 | 10.1 | 1 | 1 | — | — | — | — | |
| FBSModel=MobileNetV2, Dynamic=true2021.03 | 29.07 | 9.91 | — | — | 0.87 | 0.34 | 33.6 | — | |
| VGG-19 (TT4 FC FC)Architecture=TT4 FC FC, Backbone=VGG-192015.09 | 29.8 | 10.4 | 50,972 | 3.5 | — | — | — | — | |
| BaselineModel=ResNet-182021.03 | 30.24 | 10.92 | — | — | 0 | 0 | 0 | — | |
| ManiDP-BModel=MobileNetV2, Dynamic=true2021.03 | 30.38 | 10.55 | — | — | 2.18 | 0.98 | 51.2 | — | |
| VGG-19 (TT2 FC FC)Architecture=TT2 FC FC, Backbone=VGG-192015.09 | 30.4 | 10.9 | 194,622 | 3.5 | — | — | — | — | |
| VGG-16 (FC FC FC)Architecture=FC FC FC, Backbone=VGG-162015.09 | 30.9 | 11.2 | 1 | 1 | — | — | — | — | |
| ManiDP-AModel=ResNet-18, Dynamic=true2021.03 | 31.12 | 11.24 | — | — | 0.88 | 0.32 | 51 | — | |
| VGG-16 (TT4 FC FC)Architecture=TT4 FC FC, Backbone=VGG-162015.09 | 31.2 | 11.2 | 50,972 | 3.9 | — | — | — | — | |
| DSAModel=ResNet-18, Dynamic=false2021.03 | 31.39 | 11.65 | — | — | 1.15 | 0.73 | 40 | — | |
| VGG-16 (TT2 FC FC)Architecture=TT2 FC FC, Backbone=VGG-162015.09 | 31.5 | 11.5 | 194,622 | 3.9 | — | — | — | — | |
| FPGMModel=ResNet-18, Dynamic=false2021.03 | 31.59 | 11.52 | — | — | 1.35 | 0.6 | 41.8 | — | |
| VGG-19 (TT4 TT4 FC)Architecture=TT4 TT4 FC, Backbone=VGG-192015.09 | 31.6 | 11.7 | 37,732 | 6 | — | — | — | — | |
| DMCModel=MobileNetV2, Dynamic=false2021.03 | 31.63 | 11.54 | — | — | 3.43 | 1.97 | 46 | — | |
| ManiDP-BModel=ResNet-18, Dynamic=true2021.03 | 31.65 | 11.71 | — | — | 1.41 | 0.79 | 55.1 | — | |
| CGNetModel=ResNet-18, Dynamic=true2021.03 | 31.7 | — | — | — | 1.46 | — | 50.7 | — | |
| FBSModel=ResNet-18, Dynamic=true2021.03 | 31.83 | 11.78 | — | — | 1.59 | 0.86 | 49.5 | — | |
| VGG-19 (TT1 FC FC)Architecture=TT1 FC FC, Backbone=VGG-192015.09 | 31.9 | 11.8 | 713,614 | 3.5 | — | — | — | — | |
| VGG-16 (TT4 TT4 FC)Architecture=TT4 TT4 FC, Backbone=VGG-162015.09 | 32.2 | 12.3 | 37,732 | 7.4 | — | — | — | — | |
| SFPModel=ResNet-18, Dynamic=false2021.03 | 32.9 | 12.22 | — | — | 2.66 | 1.3 | 41.8 | — | |
| VGG-16 (TT1 FC FC)Architecture=TT1 FC FC, Backbone=VGG-162015.09 | 33.3 | 12.8 | 713,614 | 3.9 | — | — | — | — | |
| MILModel=ResNet-18, Dynamic=false2021.03 | 33.67 | 13.06 | — | — | 3.43 | 2.14 | 33.3 | — | |
| LCCNModel=ResNet-18, Dynamic=true2021.03 | 33.67 | 13.06 | — | — | 3.43 | 2.14 | 34.6 | — | |
| PFPModel=ResNet-18, Dynamic=false2021.03 | 34.35 | 13.25 | — | — | 4.11 | 2.33 | 43.1 | — | |
| VGG-19 (MR50 FC FC)Architecture=MR50 FC FC, Backbone=VGG-192015.09 | 34.5 | 15.8 | 70 | 3.4 | — | — | — | — | |
| DCPModel=MobileNetV2, Dynamic=false2021.03 | 35.78 | — | — | — | 7.58 | — | 44.7 | — | |
| ThiNetModel=MobileNetV2, Dynamic=false2021.03 | 36.25 | 14.59 | — | — | 8.05 | 5.02 | 44.7 | — | |
| VGG-16 (MR50 FC FC)Architecture=MR50 FC FC, Backbone=VGG-162015.09 | 36.7 | 14.9 | 70 | 3.7 | — | — | — | — | |
| VGG-19 (MR5 FC FC)Architecture=MR5 FC FC, Backbone=VGG-192015.09 | 79.1 | 52.4 | 704 | 3.5 | — | — | — | — | |
| VGG-16 (MR5 FC FC)Architecture=MR5 FC FC, Backbone=VGG-162015.09 | 81.7 | 53.9 | 704 | 3.9 | — | — | — | — | |
| VGG-16 (MR1 FC FC)Architecture=MR1 FC FC, Backbone=VGG-162015.09 | 99.5 | 97.6 | 3,521 | 3.9 | — | — | — | — | |
| VGG-19 (MR1 FC FC)Architecture=MR1 FC FC, Backbone=VGG-192015.09 | 99.8 | 99 | 3,521 | 3.5 | — | — | — | — | |
| DenseNet-265Backbone=DenseNet-265, # of epochs=902020.02 | — | — | — | — | — | — | — | 21.9 | |
| DenseNet-265Backbone=DenseNet-265, # of epochs=3002020.02 | — | — | — | — | — | — | — | 21.5 | |
| GoogLeNetCrops Evaluated=102015.12 | — | 9.15 | — | — | — | — | — | — | |
| GoogLeNetCrops Evaluated=1442015.12 | — | 7.89 | — | — | — | — | — | — | |
| MoExBackbone=ResNet-50, # of epochs=902020.02 | — | — | — | — | — | — | — | 23.1 | |
| MoExBackbone=ResNeXt-50 (32x4d), # of epochs=902020.02 | — | — | — | — | — | — | — | 21.4 | |
| MoExBackbone=DenseNet-265, # of epochs=902020.02 | — | — | — | — | — | — | — | 21.6 | |
| MoExBackbone=ResNet-50, # of epochs=3002020.02 | — | — | — | — | — | — | — | 21.9 | |
| MoExBackbone=ResNeXt-50 (32x4d), # of epochs=3002020.02 | — | — | — | — | — | — | — | 22 | |
| MoExBackbone=DenseNet-265, # of epochs=3002020.02 | — | — | — | — | — | — | — | 20.9 | |
| ResNet-50Backbone=ResNet-50, # of epochs=902020.02 | — | — | — | — | — | — | — | 23.6 | |
| ResNet-50Backbone=ResNet-50, # of epochs=3002020.02 | — | — | — | — | — | — | — | 23.1 | |
| ResNeXt-50 (32x4d)Backbone=ResNeXt-50 (32x4d), # of epochs=902020.02 | — | — | — | — | — | — | — | 22.2 | |
| ResNeXt-50 (32x4d)Backbone=ResNeXt-50 (32x4d), # of epochs=3002020.02 | — | — | — | — | — | — | — | 22.5 |