Sequential Image Classification on MNIST Sequential (test)
99.48Accuracy
dense-IndRNN
Updated 23d ago
Evaluation Results
| Method | Links | |
|---|---|---|
2019.10 | 99.48 | |
2020.10 | 99.4 | |
2019.10 | 99.39 | |
2019.10 | 99.37 | |
2020.10 | 99.3 | |
2019.10 | 99.1 | |
2020.10 | 99.1 | |
2016.03 | 99 | |
2019.10 | 99 | |
2020.10 | 99 | |
2016.03 | 98.9 | |
2020.10 | 98.9 | |
2020.10 | 98.7 | |
2016.02 | 98.2 | |
2019.10 | 98.2 | |
2019.10 | 98.2 | |
2016.02 | 98.1 | |
2016.03 | 98.1 | |
2020.10 | 98 | |
2016.02 | 97 | |
2016.03 | 97 | |
2019.10 | 96.9 | |
2016.02 | 95.1 | |
2016.03 | 95.1 | |
2019.10 | 95.1 | |
2020.10 | 95.1 | |
2019.10 | 95 | |
2026.05 | 92.5 | |
2026.05 | 91.3 | |
2016.02 | 87.8 | |
2016.02 | 87.2 | |
2016.02 | 86.4 | |
2016.02 | 86.4 | |
2016.02 | 85.4 | |
2016.02 | 84.8 | |
2016.02 | 77.8 | |
2016.02 | 74.9 | |
2016.02 | 71.8 | |
2016.02 | 69.6 | |
2016.02 | 56.2 | |
2016.02 | 54.2 | |
2016.02 | 46.9 | |
2016.02 | 39.9 | |
2016.02 | 39.5 | |
2016.02 | 39.5 | |
2016.02 | 39.4 | |
2016.02 | 35 | |
2016.03 | 35 | |
2016.02 | 34.9 | |
2026.05 | 27.1 | |
2026.05 | 9.9 |