Image Classification on CIFAR-100 standard (test)
86.99Top-1 AccuracySAT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SATBackbone=ResNet-50, Finetuning Mode=SFF2023.02 | 86.99 | — | |
| LLQR+SAMArchitecture=PyramidNet-110, Geometry=NGD-induced2026.05 | 86.67 | — | |
| LLQR+SAMArchitecture=PyramidNet-110, Geometry=Newton-induced2026.05 | 86.53 | — | |
| Linear ProbeBackbone=CLIP ViT-B/162025.10 | 86.4 | — | |
| SAMArchitecture=PyramidNet-1102026.05 | 86.2 | — | |
| SpikingResformerType=Transfer Learning, Architecture=SpikingResformer-S, #Param (M)=17.25, T=42024.03 | 85.98 | — | |
| FISHERSAMArchitecture=PyramidNet-1102026.05 | 85.92 | — | |
| SAT with RCSBackbone=ResNet-50, Subset fraction k=0.2, Finetuning Mode=SFF2023.02 | 85.44 | — | |
| LLQR+SAMArchitecture=WRN-28-10, Geometry=NGD-induced2026.05 | 85.3 | — | |
| SEG-MIL-CBMBackbone=CLIP ViT-B/162025.10 | 85.26 | — | |
| SAT with RCSBackbone=ResNet-50, Subset fraction k=0.1, Finetuning Mode=SFF2023.02 | 85.22 | — | |
| LLQR+SAMArchitecture=WRN-28-10, Geometry=Newton-induced2026.05 | 85.05 | — | |
| SAMArchitecture=WRN-28-102026.05 | 84.83 | — | |
| SAT with RCSBackbone=ResNet-50, Subset fraction k=0.05, Finetuning Mode=SFF2023.02 | 84.71 | — | |
| FISHERSAMArchitecture=WRN-28-102026.05 | 84.71 | — | |
| SpikingResformerType=Transfer Learning, Architecture=SpikingResformer-Ti, #Param (M)=10.76, T=42024.03 | 84.53 | — | |
| LLQRArchitecture=PyramidNet-110, Geometry=NGD-induced2026.05 | 84.4 | — | |
| Standard trainingBackbone=ResNet-50, Finetuning Mode=SFF2023.02 | 84.21 | — | |
| SAT with RandomBackbone=ResNet-50, Subset fraction k=0.2, Finetuning Mode=SFF2023.02 | 84.14 | — | |
| LLQRArchitecture=PyramidNet-110, Geometry=Newton-induced2026.05 | 84 | — | |
| SGDMArchitecture=PyramidNet-110, Geometry=Standard2026.05 | 83.96 | — | |
| SpikformerType=Transfer Learning, Architecture=Spikformer-8-512, #Param (M)=29.08, T=42024.03 | 83.83 | — | |
| SAT with RandomBackbone=ResNet-50, Subset fraction k=0.1, Finetuning Mode=SFF2023.02 | 83.62 | — | |
| Fast-ATBackbone=ResNet-50, Finetuning Mode=SFF2023.02 | 83.33 | — | |
| LLQRArchitecture=WRN-28-10, Geometry=NGD-induced2026.05 | 82.8 | — | |
| LLQRArchitecture=WRN-28-10, Geometry=Newton-induced2026.05 | 82.72 | — | |
| SGDMArchitecture=WRN-28-10, Geometry=Standard2026.05 | 82.5 | — | |
| SAT with RandomBackbone=ResNet-50, Subset fraction k=0.05, Finetuning Mode=SFF2023.02 | 82.34 | — | |
| DN-CBMBackbone=CLIP ViT-B/162025.10 | 82.1 | — | |
| SpikformerType=Transfer Learning, Architecture=Spikformer-8-384, #Param (M)=16.36, T=42024.03 | 82.09 | — | |
| STAA-SNN (Ours)Architecture=ResNet-19, Timestep=42025.03 | 82.05 | — | |
| LLQR+SAMArchitecture=ResNet-18, Geometry=NGD-induced2026.05 | 81.82 | — | |
| LLQR+SAMArchitecture=ResNet-18, Geometry=Newton-induced2026.05 | 81.65 | — | |
| LaBoBackbone=CLIP ViT-B/162025.10 | 81.2 | — | |
| SAMArchitecture=ResNet-182026.05 | 81.13 | — | |
| FISHERSAMArchitecture=ResNet-182026.05 | 80.89 | — | |
| STAA-SNN (Ours)Architecture=ResNet-19, Timestep=22025.03 | 80.57 | — | |
| CDMBackbone=CLIP ViT-B/162025.10 | 80.5 | — | |
| MPBNArchitecture=ResNet-19, Timestep=42025.03 | 80.1 | — | |
| SpikformerType=Transfer Learning, Architecture=Spikformer-4-384, #Param (M)=9.28, T=42024.03 | 79.96 | — | |
| LLQRArchitecture=ResNet-18, Geometry=Newton-induced2026.05 | 79.83 | — | |
| DCBM-GDINOBackbone=CLIP ViT-B/162025.10 | 79.6 | — | |
| DCBM-MASKRCNNBackbone=CLIP ViT-B/162025.10 | 79.6 | — | |
| LLQRArchitecture=ResNet-18, Geometry=NGD-induced2026.05 | 79.53 | — | |
| MPBNArchitecture=ResNet-19, Timestep=22025.03 | 79.51 | — | |
| DCBM-SAM2Backbone=CLIP ViT-B/162025.10 | 79.4 | — | |
| STAA-SNN (Ours)Architecture=ResNet-19, Timestep=12025.03 | 79.37 | — | |
| SpikingResformerType=Direct Training, Architecture=SpikingResformer-Ti*, #Param (M)=10.79, T=42024.03 | 79.28 | — | |
| SGDMArchitecture=ResNet-18, Geometry=Standard2026.05 | 79.27 | — | |
| SpikingformerType=Direct Training, Architecture=Spikingformer-4-384, #Param (M)=9.28, T=42024.03 | 79.09 | — | |
| MPBNArchitecture=ResNet-19, Timestep=12025.03 | 78.71 | — | |
| Spike-driven TransformerType=Direct Training, Architecture=Spike-driven Transformer-2-512, #Param (M)=10.21, T=42024.03 | 78.4 | — | |
| Spike-driven TransformerArchitecture=Transformer-2-512, Timestep=42025.03 | 78.4 | — | |
| SpikingformerType=Direct Training, Architecture=Spikingformer-2-384, #Param (M)=5.74, T=42024.03 | 78.34 | — | |
| LLQR+SAMArchitecture=VGG16-BN, Geometry=NGD-induced2026.05 | 78.14 | — | |
| PFAArchitecture=ResNet-19, Timestep=42025.03 | 78.1 | — | |
| SpikformerType=Direct Training, Architecture=Spikformer-4-384, #Param (M)=9.28, T=42024.03 | 77.86 | — | |
| LLQR+SAMArchitecture=VGG16-BN, Geometry=Newton-induced2026.05 | 77.67 | — | |
| SpikingformerType=Direct Training, Architecture=Spikingformer-4-256, #Param (M)=4.13, T=42024.03 | 77.43 | — | |
| SpikingformerArchitecture=Spikingformer-4-25, Timestep=42025.03 | 77.43 | — | |
| Label-Free-CBMBackbone=CLIP ViT-B/162025.10 | 77.4 | — | |
| SATBackbone=ResNet-50, Finetuning Mode=SLF2023.02 | 77.29 | — | |
| IM-LIFArchitecture=ResNet-19, Timestep=32025.03 | 77.21 | — | |
| GLIFArchitecture=ResNet-19, Timestep=42025.03 | 77.05 | — | |
| SpikformerType=Direct Training, Architecture=Spikformer-2-384, #Param (M)=5.74, T=42024.03 | 76.95 | — | |
| LSGArchitecture=ResNet-19, Timestep=42025.03 | 76.85 | — | |
| PFAArchitecture=ResNet-19, Timestep=22025.03 | 76.7 | — | |
| SAMArchitecture=VGG16-BN2026.05 | 76.7 | — | |
| FISHERSAMArchitecture=VGG16-BN2026.05 | 76.7 | — | |
| Maximum Separation as Inductive BiasArchitecture=ResNet-32, Imbalance Factor=None2022.06 | 76.54 | — | |
| SAT with RCSBackbone=ResNet-50, Subset fraction k=0.2, Finetuning Mode=SLF2023.02 | 76.39 | — | |
| STAA-SNN (Ours)Architecture=VGG-13, Timestep=42025.03 | 76.35 | — | |
| LSGArchitecture=ResNet-19, Timestep=22025.03 | 76.32 | — | |
| LLQRArchitecture=VGG16-BN, Geometry=NGD-induced2026.05 | 76.32 | — | |
| LLQRArchitecture=VGG16-BN, Geometry=Newton-induced2026.05 | 76.31 | — | |
| SpikformerType=Direct Training, Architecture=Spikformer-4-256, #Param (M)=4.13, T=42024.03 | 75.96 | — | |
| SpikformerArchitecture=Spikformer-4-25, Timestep=42025.03 | 75.96 | — | |
| ResNet-32Architecture=ResNet-32, Imbalance Factor=None2022.06 | 75.77 | — | |
| SGDMArchitecture=VGG16-BN, Geometry=Standard2026.05 | 75.65 | — | |
| GLIFArchitecture=ResNet-19, Timestep=22025.03 | 75.48 | — | |
| SAT with RCSBackbone=ResNet-50, Subset fraction k=0.1, Finetuning Mode=SLF2023.02 | 75.41 | — | |
| SAT with RCSBackbone=ResNet-50, Subset fraction k=0.05, Finetuning Mode=SLF2023.02 | 75.35 | — | |
| STAA-SNN (Ours)Architecture=VGG-13, Timestep=22025.03 | 75.16 | — | |
| STAA-SNN (Ours)Architecture=ResNet-20, Timestep=42025.03 | 75.1 | — | |
| TETArchitecture=ResNet-19, Timestep=42025.03 | 74.47 | — | |
| DspikeType=Direct Training, Architecture=ResNet-18, #Param (M)=11.21, T=62024.03 | 74.24 | — | |
| Fast-ATBackbone=ResNet-50, Finetuning Mode=SLF2023.02 | 73.35 | — | |
| DspikeType=Direct Training, Architecture=ResNet-18, #Param (M)=11.21, T=42024.03 | 73.35 | — | |
| STAA-SNN (Ours)Architecture=ResNet-20, Timestep=22025.03 | 73.2 | — | |
| TETArchitecture=ResNet-19, Timestep=22025.03 | 72.87 | — | |
| MPBNArchitecture=ResNet-20, Timestep=42025.03 | 72.3 | — | |
| SAT with RandomBackbone=ResNet-50, Subset fraction k=0.2, Finetuning Mode=SLF2023.02 | 72.05 | — | |
| DspikeType=Direct Training, Architecture=ResNet-18, #Param (M)=11.21, T=22024.03 | 71.68 | — | |
| DCQColor Bits=62026.02 | 71.55 | — | |
| SAT with RandomBackbone=ResNet-50, Subset fraction k=0.1, Finetuning Mode=SLF2023.02 | 71.23 | — | |
| MPBNArchitecture=ResNet-20, Timestep=22025.03 | 70.79 | — | |
| BP*# Layers=42025.01 | 70.37 | — | |
| DCQColor Bits=52026.02 | 70.31 | — | |
| IM-lossArchitecture=VGG-16, Timestep=52025.03 | 70.18 | — | |
| STAA-SNN (Ours)Architecture=ResNet-20, Timestep=12025.03 | 70.14 | — |