Image Classification on ImageNet-1k (Accuracy & Hardware Efficiency)
79.82AccuracyGe²mS-T Large
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Ge²mS-T LargeType=Ge²mS-T Training, Architecture=Ge²mS-T Large, Param.(M)=14.48, T=4, Input size=224x2242026.04 | 79.82 | 3.15 | 2.83 | |
| Ge²mS-T BaseType=Ge²mS-T Training, Architecture=Ge²mS-T Base, Param.(M)=9.36, T=4, Input size=224x2242026.04 | 78.19 | 2.14 | 1.92 | |
| SpikingformerType=STBP Training, Architecture=Spikingformer-8-768, Param.(M)=66.34, T=4, Input size=224x2242026.04 | 77.64 | — | 16.3 | |
| Att-MS ResNetType=STBP Training, Architecture=MS ResNet-104†, Param.(M)=78.37, T=4, Input size=288x2882026.04 | 77.08 | — | 7.3 | |
| SNN-ViTType=STBP Training, Architecture=SViT-8-384, Param.(M)=30.4, T=4, Input size=224x2242026.04 | 76.87 | — | 20.83 | |
| SpikingformerType=STBP Training, Architecture=Spikingformer-8-512, Param.(M)=29.68, T=4, Input size=224x2242026.04 | 76.54 | — | 8.68 | |
| Spike-driven TransformerType=STBP Training, Architecture=SDT-8-768, Param.(M)=66.34, T=4, Input size=224x2242026.04 | 76.32 | — | 6.09 | |
| MS ResNetType=STBP Training, Architecture=MS ResNet-104†, Param.(M)=77.28, T=5, Input size=288x2882026.04 | 76.02 | 11.32 | 10.19 | |
| OursArchitecture=Spikingformer-8-384, Param (M)=16.81, Train Size=224^2, Test Size=224^2, Time Step=42026.04 | 75.53 | — | 5.67 | |
| NILIF (Spikingformer†)Architecture=Spikingformer-8-384, Param (M)=16.81, Train Size=224^2, Test Size=224^2, Time Step=42026.04 | 75.41 | — | 5.58 | |
| Ge²mS-T SmallType=Ge²mS-T Training, Architecture=Ge²mS-T Small, Param.(M)=5.35, T=4, Input size=224x2242026.04 | 75.12 | 1.29 | 1.16 | |
| SpikformerType=STBP Training, Architecture=Spikformer-8-768, Param.(M)=66.34, T=4, Input size=224x2242026.04 | 74.81 | 22.09 | 21.48 | |
| SNN-ViTType=STBP Training, Architecture=SViT-8-256, Param.(M)=13.7, T=4, Input size=224x2242026.04 | 74.66 | — | 14.28 | |
| Spike-driven TransformerType=STBP Training, Architecture=SDT-8-512, Param.(M)=29.68, T=4, Input size=224x2242026.04 | 74.57 | — | 4.5 | |
| SpikingformerType=STBP Training, Architecture=Spikingformer-8-384, Param.(M)=16.81, T=4, Input size=224x2242026.04 | 74.35 | — | 5.61 | |
| LIF (Spikingformer†)Architecture=Spikingformer-8-384, Param (M)=16.81, Train Size=224^2, Test Size=224^2, Time Step=42026.04 | 74.35 | — | 5.61 | |
| SpikformerType=STBP Training, Architecture=Spikformer-8-512, Param.(M)=29.68, T=4, Input size=224x2242026.04 | 73.38 | 11.09 | 11.58 | |
| Spiking ResNetType=ANN-SNN Conversion, Architecture=ResNet-50, Param.(M)=25.56, T=350, Input size=224x2242026.04 | 72.75 | 78.29 | 70.93 | |
| LIF (Spikingformer)Architecture=Spikingformer-8-384, Param (M)=16.81, Train Size=224^2, Test Size=224^2, Time Step=42026.04 | 72.45 | — | 4.69 | |
| Spike-driven TransformerType=STBP Training, Architecture=SDT-8-384, Param.(M)=16.81, T=4, Input size=224x2242026.04 | 72.28 | — | 3.9 | |
| SD-TransformerArchitecture=SD-Transformer-8-384, Param (M)=16.81, Train Size=224^2, Test Size=224^2, Time Step=42026.04 | 72.28 | — | 3.9 | |
| Spiking ResNetType=ANN-SNN Conversion, Architecture=ResNet-34, Param.(M)=21.79, T=350, Input size=224x2242026.04 | 71.61 | 65.28 | 59.3 | |
| SpikformerType=STBP Training, Architecture=Spikformer-8-384, Param.(M)=16.81, T=4, Input size=224x2242026.04 | 70.24 | 6.82 | 7.73 | |
| SpikformerArchitecture=Spikformer-8-384, Param (M)=16.81, Train Size=224^2, Test Size=224^2, Time Step=42026.04 | 70.24 | — | 12.43 | |
| MS ResNetType=STBP Training, Architecture=MS ResNet-34, Param.(M)=21.79, T=6, Input size=224x2242026.04 | 69.42 | 4.77 | 4.29 | |
| MS-ResNetArchitecture=MS-ResNet-34, Param (M)=21.80, Train Size=224^2, Test Size=224^2, Time Step=62026.04 | 69.42 | — | — | |
| SEW ResNetType=STBP Training, Architecture=SEW ResNet-152, Param.(M)=60.19, T=4, Input size=224x2242026.04 | 69.26 | 13.72 | 12.89 | |
| SEW ResNetType=STBP Training, Architecture=SEW ResNet-101, Param.(M)=44.55, T=4, Input size=224x2242026.04 | 68.76 | 9.3 | 8.91 | |
| SEW ResNetType=STBP Training, Architecture=SEW ResNet-50, Param.(M)=25.56, T=4, Input size=224x2242026.04 | 67.78 | 4.83 | 4.89 | |
| SEW ResNetType=STBP Training, Architecture=SEW ResNet-34, Param.(M)=21.79, T=4, Input size=224x2242026.04 | 67.04 | 3.88 | 4.04 | |
| SEW ResNetArchitecture=SEW-ResNet-34, Param (M)=21.79, Train Size=224^2, Test Size=224^2, Time Step=42026.04 | 67.04 | — | — | |
| STBP-tdBNType=STBP Training, Architecture=Spiking ResNet-34, Param.(M)=21.79, T=6, Input size=224x2242026.04 | 63.72 | 6.5 | 6.39 |