Image Classification on ImageNet 1k (val) (Accuracy, Delta & Correlation)
86AccuracySparK
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SparKArchitecture=ConvNeXt-Large, Resolution=384, Parameters (M)=198, FLOPs (G)=101, Reach the next level=-2023.01 | 86 | 1.7 | — | |
| SparKArchitecture=ConvNeXt-Large, Resolution=224, Parameters (M)=198, FLOPs (G)=34.4, Reach the next level=-2023.01 | 85.4 | 1.1 | — | |
| SparKArchitecture=ConvNeXt-Base, Resolution=224, Parameters (M)=89.0, FLOPs (G)=15.4, Reach the next level=✓2023.01 | 84.8 | 1 | — | |
| Supervised BaselineArchitecture=ConvNeXt-Large, Resolution=224, Parameters (M)=198, FLOPs (G)=34.42023.01 | 84.3 | — | — | |
| Supervised BaselineArchitecture=ConvNeXt-Large, Resolution=384, Parameters (M)=198, FLOPs (G)=1012023.01 | 84.3 | — | — | |
| SparKArchitecture=ConvNeXt-Small, Resolution=224, Parameters (M)=50.0, FLOPs (G)=8.7, Reach the next level=✓2023.01 | 84.1 | 1 | — | |
| Supervised BaselineArchitecture=ConvNeXt-Base, Resolution=224, Parameters (M)=89.0, FLOPs (G)=15.42023.01 | 83.8 | — | — | |
| SparKArchitecture=ResNet-200, Resolution=224, Parameters (M)=64.7, FLOPs (G)=15.1, Reach the next level=-2023.01 | 83.1 | 1 | — | |
| Supervised BaselineArchitecture=ConvNeXt-Small, Resolution=224, Parameters (M)=50.0, FLOPs (G)=8.72023.01 | 83.1 | — | — | |
| SparKArchitecture=ResNet-152, Resolution=224, Parameters (M)=60.2, FLOPs (G)=11.6, Reach the next level=✓2023.01 | 82.7 | 0.9 | — | |
| SparKArchitecture=ResNet-101, Resolution=224, Parameters (M)=44.5, FLOPs (G)=7.9, Reach the next level=✓2023.01 | 82.2 | 0.9 | — | |
| Supervised BaselineArchitecture=ResNet-200, Resolution=224, Parameters (M)=64.7, FLOPs (G)=15.12023.01 | 82.1 | — | — | |
| Supervised BaselineArchitecture=ResNet-152, Resolution=224, Parameters (M)=60.2, FLOPs (G)=11.62023.01 | 81.8 | — | — | |
| Supervised BaselineArchitecture=ResNet-101, Resolution=224, Parameters (M)=44.5, FLOPs (G)=7.92023.01 | 81.3 | — | — | |
| SparKArchitecture=ResNet-50, Resolution=224, Parameters (M)=25.6, FLOPs (G)=4.1, Reach the next level=X2023.01 | 80.6 | 0.8 | — | |
| Supervised BaselineArchitecture=ResNet-50, Resolution=224, Parameters (M)=25.6, FLOPs (G)=4.12023.01 | 79.8 | — | — | |
| ID+LRankFLOPs Reduction (%)=43%, Epochs=10, Backbone=VGG-162021.07 | 70.5 | 1.01 | 90.9 | |
| AMCFLOPs Reduction (%)=48%, Epochs=120, Backbone=VGG-162021.07 | 70.49 | 0.65 | 76.03 | |
| LRankFLOPs Reduction (%)=43%, Epochs=10, Implementation=[50]-impl., Backbone=VGG-162021.07 | 70.3 | 1.21 | 90.38 | |
| ID+PCAFLOPs Reduction (%)=54%, Epochs=200, Backbone=VGG-162021.07 | 69.18 | 2.33 | 87.13 | |
| ID+LRankFLOPs Reduction (%)=43%, Epochs=0, Backbone=VGG-162021.07 | 68.84 | 2.67 | 85.66 | |
| CPFLOPs Reduction (%)=53%, Epochs=10, Backbone=VGG-162021.07 | 68.2 | 2.66 | 78.47 | |
| ThiNetFLOPs Reduction (%)=46%, Epochs=30, Backbone=VGG-162021.07 | 66.59 | 0.89 | 70.15 |