Sequential Image Classification on sMNIST
99.75AccuracySMPConv
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SMPConvParams.=373k2023.04 | 99.75 | — | — | — | |
| S42023.04 | 99.63 | — | — | — | |
| FlexTCNParams.=375k2023.04 | 99.62 | — | — | — | |
| LSSL2023.04 | 99.53 | — | — | — | |
| PMSN# Params=0.16 M2026.05 | 99.53 | — | — | — | |
| D-RF# Params=0.16 M2026.05 | 99.5 | — | — | — | |
| CoRNNParams.=134k2023.04 | 99.4 | — | — | — | |
| CKCNNParams.=98k2023.04 | 99.31 | — | — | — | |
| URLSTM2023.04 | 99.28 | — | — | — | |
| TrellisNetParams.=8M2023.04 | 99.2 | — | — | — | |
| PRF# Params=0.07 M2026.05 | 99.18 | — | — | — | |
| TCNParams.=70k2023.04 | 99 | — | — | — | |
| IndRNNParams.=83k2023.04 | 99 | — | — | — | |
| ReLUNetwork=64+256+2562021.03 | 99 | 157,300 | — | 59 | |
| DH-SRNN# Params=0.08 M2026.05 | 98.9 | — | — | — | |
| S5-RF# Params=0.04 M2026.05 | 98.89 | — | — | — | |
| SRNNNetwork=64+256+2562021.03 | 98.7 | 2,000 | 20,000 | 1 | |
| r-LSTMParams.=500k2023.04 | 98.4 | — | — | — | |
| FiTS# Params=0.07 M, M=1, W=2562026.05 | 98.28 | — | — | — | |
| DilRNNParams.=44k2023.04 | 98 | — | — | — | |
| TC-LIF# Params=0.09 M2026.05 | 97.35 | — | — | — | |
| GRUParams.=70k2023.04 | 96.2 | — | — | — | |
| TEFormer2026.01 | 96.2 | — | — | — | |
| QKFormer2026.01 | 94.25 | — | — | — | |
| LSTMParams.=70k2023.04 | 87.2 | — | — | — |