Image Classification on ImageNet (Accuracy and FLOPs)
77.1Top-1 AccuracyRigL (5x)
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| RigL (5x)Pruning ratio=80%, Backbone=ResNet-50, Multiplier=5x2021.06 | 77.1 | 2.09 | 0.42 | — | — | — | — | |
| GraNet (2.5x)Pruning ratio=80%, Backbone=ResNet-50, Initial sparsity (si)=0.5, Multiplier=2.5x2021.06 | 77.1 | 0.85 | 0.34 | — | — | — | — | |
| RigL-ITOP (2x)Pruning ratio=80%, Backbone=ResNet-50, Multiplier=2x2021.06 | 76.9 | 0.84 | 0.42 | — | — | — | — | |
| DenseBackbone=ResNet-502021.06 | 76.8 | 1 | 1 | — | — | — | — | |
| RigL (5x)Pruning ratio=90%, Backbone=ResNet-50, Multiplier=5x2021.06 | 76.4 | 1.23 | 0.24 | — | — | — | — | |
| GraNet (2.5x)Pruning ratio=90%, Backbone=ResNet-50, Initial sparsity (si)=0.5, Multiplier=2.5x2021.06 | 76.4 | 0.49 | 0.2 | — | — | — | — | |
| STRPruning ratio=80%, Backbone=ResNet-502021.06 | 76.1 | — | 0.17 | — | — | — | — | |
| GraNetPruning ratio=80%, Backbone=ResNet-50, Initial sparsity (si)=0.52021.06 | 76 | 0.37 | 0.35 | — | — | — | — | |
| GraNetPruning ratio=80%, Backbone=ResNet-50, Initial sparsity (si)=02021.06 | 75.8 | 0.34 | 0.28 | — | — | — | — | |
| GMPPruning ratio=80%, Backbone=ResNet-502021.06 | 75.6 | 0.56 | 0.23 | — | — | — | — | |
| RigL-ITOP (2x)Pruning ratio=90%, Backbone=ResNet-50, Multiplier=2x2021.06 | 75.5 | 0.5 | 0.24 | — | — | — | — | |
| SNFS (ERK)Pruning ratio=80%, Backbone=ResNet-502021.06 | 75.2 | 0.61 | 0.42 | — | — | — | — | |
| RigL (ERK)Pruning ratio=80%, Backbone=ResNet-502021.06 | 75.1 | 0.42 | 0.42 | — | — | — | — | |
| DPFPruning ratio=80%, Backbone=ResNet-502021.06 | 75.1 | 0.71 | 0.23 | — | — | — | — | |
| GraNetPruning ratio=90%, Backbone=ResNet-50, Initial sparsity (si)=0.52021.06 | 74.5 | 0.25 | 0.2 | — | — | — | — | |
| GraNetPruning ratio=90%, Backbone=ResNet-50, Initial sparsity (si)=02021.06 | 74.2 | 0.23 | 0.16 | — | — | — | — | |
| STRPruning ratio=90%, Backbone=ResNet-502021.06 | 74 | — | 0.08 | — | — | — | — | |
| SFPBackbone=ResNet-342024.03 | 73.92 | — | — | 91.62 | -2.09 | -1.29 | 56 | |
| FPGMBackbone=ResNet-342024.03 | 73.92 | — | — | 91.62 | -1.29 | -0.54 | 41.1 | |
| GPBackbone=ResNet-342024.03 | 73.92 | — | — | 91.62 | -1.14 | -0.69 | 51.1 | |
| Small-Dense (5x)Pruning ratio=80%, Backbone=ResNet-50, Multiplier=5x2021.06 | 73.9 | 1.01 | 0.2 | — | — | — | — | |
| GMPPruning ratio=90%, Backbone=ResNet-502021.06 | 73.9 | 0.51 | 0.1 | — | — | — | — | |
| RLALBackbone=ResNet-342024.03 | 73.45 | — | — | 91.48 | -0.14 | -0.23 | 50 | |
| TaylorBackbone=ResNet-342024.03 | 73.31 | — | — | — | -0.48 | — | 24.2 | |
| SCOPBackbone=ResNet-342024.03 | 73.31 | — | — | 91.42 | -0.69 | -0.44 | 44.8 | |
| GFSBackbone=ResNet-342024.03 | 73.31 | — | — | — | -0.4 | — | 43.8 | |
| ISPBackbone=ResNet-342024.03 | 73.31 | — | — | 91.42 | -0.45 | -0.4 | 44 | |
| DSRPruning ratio=80%, Backbone=ResNet-502021.06 | 73.3 | 0.4 | 0.4 | — | — | — | — | |
| DMCBackbone=ResNet-342024.03 | 73.3 | — | — | 91.42 | -0.73 | -0.31 | 43.4 | |
| FTWTBackbone=ResNet-342024.03 | 73.3 | — | — | — | -1.59 | — | 52.2 | |
| PGMPFBackbone=ResNet-342024.03 | 73.27 | — | — | 91.43 | -1.68 | -0.98 | 52.7 | |
| RigL (ERK)Pruning ratio=90%, Backbone=ResNet-502021.06 | 73 | 0.25 | 0.24 | — | — | — | — | |
| SETPruning ratio=80%, Backbone=ResNet-502021.06 | 72.9 | 0.23 | 0.23 | — | — | — | — | |
| SNFS (ERK)Pruning ratio=90%, Backbone=ResNet-502021.06 | 72.9 | 0.5 | 0.24 | — | — | — | — | |
| Static (ERK)Pruning ratio=80%, Backbone=ResNet-502021.06 | 72.1 | 0.42 | 0.42 | — | — | — | — | |
| Small-DensePruning ratio=80%, Backbone=ResNet-502021.06 | 72.1 | 0.23 | 0.23 | — | — | — | — | |
| SNIPPruning ratio=80%, Backbone=ResNet-502021.06 | 72 | 0.23 | 0.23 | — | — | — | — | |
| MetaPruningBackbone=MobileNet-V22024.03 | 72 | — | — | — | -0.8 | — | 30.7 | |
| RandomBackbone=MobileNet-V22024.03 | 71.88 | — | — | — | -0.98 | — | 28.9 | |
| CCBackbone=MobileNet-V22024.03 | 71.88 | — | — | — | -0.97 | — | 28.3 | |
| RLALBackbone=MobileNet-V22024.03 | 71.82 | — | — | 90.26 | -0.5 | -0.33 | 29.4 | |
| UniformBackbone=MobileNet-V22024.03 | 71.8 | — | — | 91 | -2 | -1.4 | 30 | |
| AMCBackbone=MobileNet-V22024.03 | 71.8 | — | — | — | -1 | — | 30 | |
| DSRPruning ratio=90%, Backbone=ResNet-502021.06 | 71.6 | 0.3 | 0.3 | — | — | — | — | |
| Small-Dense (5x)Pruning ratio=90%, Backbone=ResNet-50, Multiplier=5x2021.06 | 71.3 | 0.6 | 0.12 | — | — | — | — | |
| MILBackbone=ResNet-182024.03 | 70.28 | — | — | 89.63 | -3.18 | -1.85 | 41.8 | |
| SFPBackbone=ResNet-182024.03 | 70.28 | — | — | 89.63 | -3.18 | -1.85 | 41.8 | |
| FPGMBackbone=ResNet-182024.03 | 70.28 | — | — | 89.63 | -1.87 | -1.15 | 41.8 | |
| GPBackbone=ResNet-182024.03 | 70.28 | — | — | 89.63 | -1.4 | -0.97 | 43.9 | |
| EEMCBackbone=ResNet-182024.03 | 70.28 | — | — | 89.63 | -2.01 | -1.19 | 46.6 | |
| PGMPFBackbone=ResNet-182024.03 | 70.23 | — | — | 89.51 | -3.56 | -2.15 | 53.5 | |
| RLALBackbone=ResNet-182024.03 | 69.8 | — | — | 89.1 | -0.8 | -0.42 | 50 | |
| SCOPBackbone=ResNet-182024.03 | 69.76 | — | — | 89.08 | -1.14 | -0.93 | 45 | |
| GNNRLBackbone=ResNet-182024.03 | 69.76 | — | — | — | -1.1 | — | 51 | |
| FTWTBackbone=ResNet-182024.03 | 69.76 | — | — | — | -2.27 | — | 51.5 | |
| PFPBackbone=ResNet-182024.03 | 69.74 | — | — | 89.07 | -2.36 | -1.16 | 29.3 | |
| SETPruning ratio=90%, Backbone=ResNet-502021.06 | 69.6 | 0.1 | 0.1 | — | — | — | — | |
| Static (ERK)Pruning ratio=90%, Backbone=ResNet-502021.06 | 67.7 | 0.24 | 0.24 | — | — | — | — | |
| Small-DensePruning ratio=90%, Backbone=ResNet-502021.06 | 67.2 | 0.1 | 0.1 | — | — | — | — | |
| SNIPPruning ratio=90%, Backbone=ResNet-502021.06 | 67.2 | 0.1 | 0.1 | — | — | — | — |