Image Classification on S-MNIST (test)
99.7Average AccuracyIndividual
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Individualpretrained=false2022.10 | 99.7 | 0 | |
| SSNETpretrained=false, classification_head=CNN-based2022.10 | 99.7 | 0 | |
| EXSSNETpretrained=false, classification_head=CNN-based, random_seeds=32022.10 | 99.7 | 0 | |
| Focushidden dimension=512, layers=62023.05 | 99.7 | — | |
| CGATEpretrained=false2022.10 | 99.6 | 0 | |
| SupSuppretrained=false, classification_head=CNN-based2022.10 | 99.6 | 0 | |
| S4hidden dimension=512, layers=62023.05 | 99.6 | — | |
| LSSL2026.02 | 99.53 | — | |
| suGRU2026.02 | 99.53 | — | |
| LipschitzRNN2026.02 | 99.4 | — | |
| CKConv2026.02 | 99.32 | — | |
| UR-LSTM2026.02 | 99.28 | — | |
| UR-GRU2026.02 | 99.27 | — | |
| SIpretrained=false2022.10 | 99.2 | 0.6 | |
| LwFpretrained=false2022.10 | 99.2 | 0.8 | |
| ERpretrained=false2022.10 | 99.2 | 0.6 | |
| TrellisNet2026.02 | 99.2 | — | |
| TCN2026.02 | 99 | — | |
| DERpretrained=false2022.10 | 98.9 | 1.2 | |
| Transformerhidden dimension=512, layers=62023.05 | 98.9 | — | |
| Focus-H (ablation)hidden dimension=512, layers=62023.05 | 98.9 | — | |
| Transformer2026.02 | 98.9 | — | |
| LSTM2026.02 | 98.9 | — | |
| HiPPO-RNN2026.02 | 98.9 | — | |
| r-LSTM2026.02 | 98.4 | — | |
| AGEMpretrained=false2022.10 | 98.3 | 1.9 | |
| DER++pretrained=false2022.10 | 98.3 | 1.8 | |
| Multitaskpretrained=false2022.10 | 96.5 | 0 | |
| EWCpretrained=false2022.10 | 96.1 | 4.5 | |
| Naive Sequentialpretrained=false2022.10 | 49.6 | 25 |