Image Classification on ImageNet-1K (Accuracy Delta, Efficiency)
79.22Primary AccuracyOurs
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| OursDNN=ViT-B/162024.12 | 79.22 | -1.85 | 45 | |
| DepGraphDNN=ViT-B/162024.12 | 79.17 | -1.9 | 40.9 | |
| CP-ViTDNN=ViT-B/162024.12 | 77.36 | -0.55 | 33.52 | |
| GFPDNN=ResNet-502024.12 | 76.42 | -0.37 | 50.11 | |
| DepGraphDNN=ResNet-502024.12 | 75.83 | -0.32 | 51.82 | |
| SOSPDNN=ResNet-502024.12 | 74.39 | -1.76 | 51 | |
| GNN-RLDNN=ResNet-502024.12 | 74.28 | -1.82 | 53 | |
| MFPDNN=ResNet-502024.12 | 74.13 | -2.02 | 53.5 | |
| OursDNN=ResNet-502024.12 | 74.03 | -2.1 | 65 | |
| NPPMDNN=MobileNet-v22024.12 | 72.02 | 0.02 | 29.7 | |
| OursDNN=VGG-162024.12 | 71.47 | -0.12 | 82 | |
| SMCPDNN=MobileNet-v12024.12 | 71 | -1.6 | 37.43 | |
| GNN-RLDNN=VGG-162024.12 | 70.99 | 0.49 | 80 | |
| DRLPDNN=MobileNet-v12024.12 | 70.6 | -0.3 | 50 | |
| AGMCDNN=VGG-162024.12 | 70.35 | -0.15 | 80 | |
| GNN-RLDNN=MobileNet-v22024.12 | 70.04 | -1.83 | 42 | |
| OursDNN=MobileNet-v12024.12 | 69.85 | -1.29 | 70 | |
| GNN-RLDNN=MobileNet-v12024.12 | 69.5 | -1.4 | 60 | |
| AGMCDNN=MobileNet-v12024.12 | 69.4 | -1.2 | 60 | |
| GFPDNN=MobileNet-v22024.12 | 69.16 | -6.58 | 50 | |
| AMCDNN=VGG-162024.12 | 69.1 | -1.4 | 80 | |
| CCDNN=VGG-162024.12 | 68.81 | -2.78 | 52.39 | |
| DepGraphDNN=MobileNet-v22024.12 | 68.46 | -3.41 | 54.55 | |
| OursDNN=MobileNet-v22024.12 | 67.65 | -4.22 | 75 | |
| DNCPDNN=MobileNet-v22024.12 | 66.5 | -5.8 | 67.67 | |
| NMDNN=VGG-162024.12 | 61.18 | -12.18 | 38.41 | |
| RollBackDNN=MobileNet-v22024.12 | 52.86 | — | 40 | |
| RollBackDNN=MobileNet-v12024.12 | 49.34 | — | 50 |