Image Classification on ImageNet (Best and Mean Accuracy)
77.2Best AccuracyAC/DC + HAM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AC/DC + HAMPruning type=DtS, Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 77.2 | — | |
| AC/DC + HAMPruning type=DtS, Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 76.66 | — | |
| STR + HAMPruning type=Cont. spars., Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 76.37 | — | |
| RiGL + HAMPruning type=DST, Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 76.22 | — | |
| AC/DC + Sign-InPruning type=DtS, Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 75.9 | — | |
| AC/DCPruning type=DtS, Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 75.83 | — | |
| PILoTPruning type=Cont. spars., Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 75.62 | — | |
| STRPruning type=Cont. spars., Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 75.49 | — | |
| AC/DC + HAMPruning type=DtS, Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 75.45 | — | |
| RiGLPruning type=DST, Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 75.02 | — | |
| RiGL + Sign-InPruning type=DST, Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 75.02 | — | |
| STR + HAMPruning type=Cont. spars., Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 75.01 | — | |
| Random + HAMPruning type=PaI, Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 74.84 | — | |
| RiGL + HAMPruning type=DST, Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 74.83 | — | |
| AC/DCPruning type=DtS, Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 74.75 | — | |
| AC/DC + Sign-InPruning type=DtS, Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 74.74 | — | |
| PILoTPruning type=Cont. spars., Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 74.73 | — | |
| RiGL + Sign-InPruning type=DST, Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 74.27 | — | |
| Random + Sign-InPruning type=PaI, Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 74.12 | — | |
| RandomPruning type=PaI, Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 73.87 | — | |
| RiGLPruning type=DST, Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 73.7 | — | |
| RiGL + Sign-InPruning type=DST, Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 73.07 | — | |
| RiGL + HAMPruning type=DST, Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 72.93 | — | |
| AC/DC + Sign-InPruning type=DtS, Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 72.88 | — | |
| Random + HAMPruning type=PaI, Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 72.72 | — | |
| spredPruning type=Cont. spars., Sparsity level (s)=0.8, Backbone=ResNet502025.06 | 72.64 | — | |
| AC/DCPruning type=DtS, Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 72.59 | — | |
| STRPruning type=Cont. spars., Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 72.4 | — | |
| Random + Sign-InPruning type=PaI, Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 72.19 | — | |
| RiGLPruning type=DST, Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 71.89 | — | |
| spredPruning type=Cont. spars., Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 71.84 | — | |
| RandomPruning type=PaI, Sparsity level (s)=0.9, Backbone=ResNet502025.06 | 71.56 | — | |
| STR + HAMPruning type=Cont. spars., Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 71.41 | — | |
| PILoTPruning type=Cont. spars., Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 71.3 | — | |
| Random + HAMPruning type=PaI, Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 70.05 | — | |
| spredPruning type=Cont. spars., Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 69.47 | — | |
| Random + Sign-InPruning type=PaI, Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 69.38 | — | |
| RandomPruning type=PaI, Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 68.72 | — | |
| OTTT_ANetwork structure=NF-ResNet-34, Params=22M, Time steps=62022.10 | 65.15 | — | |
| STRPruning type=Cont. spars., Sparsity level (s)=0.95, Backbone=ResNet502025.06 | 64.94 | — | |
| ANN-SNNNetwork structure=ResNet-34, Params=22M, Time steps=322022.10 | 64.54 | — | |
| OTTT_ONetwork structure=NF-ResNet-34, Params=22M, Time steps=62022.10 | 64.16 | — | |
| BPTTNetwork structure=ResNet-34 (tdBN), Params=22M, Time steps=62022.10 | 63.72 | — | |
| Hybrid TrainingNetwork structure=ResNet-34, Params=22M, Time steps=2502022.10 | 61.48 | — |