Image Classification on Fashion-MNIST standard (test)
96.3AccuracyWRN-28-10 + Random Erasing
Evaluation Results
| Method | Links | |
|---|---|---|
| WRN-28-10 + Random ErasingSubmitter=@zhunzhong072020.07 | 96.3 | |
| AVG-SoftmaxSubmitter=N/A2020.07 | 95.92 | |
| EXT-SoftmaxSubmitter=N/A2020.07 | 95.91 | |
| WRN-28-10Submitter=@zhunzhong072020.07 | 95.9 | |
| E2E-3MSubmitter=N/A2020.07 | 95.85 | |
| Dual path network with WRN-28-10Submitter=@Queequeg2020.07 | 95.7 | |
| SeResNeXt101-STDSubmitter=N/A2020.07 | 95.41 | |
| DENSERSubmitter=@fillassuncao2020.07 | 95.3 | |
| MobileNetSubmitter=@Bojone2020.07 | 95 | |
| CNN with optional shortcutsSubmitter=@kennivich2020.07 | 94.7 | |
| Google AutoMLSubmitter=@Sebastian Heinz2020.07 | 93.9 | |
| BitLogicModel=FFN, Gate count=384 K2026.02 | 93.81 | |
| Capsule NetworkSubmitter=@XifengGuo2020.07 | 93.6 | |
| VGG16Submitter=@QuantumLiu2020.07 | 93.5 | |
| LeNetSubmitter=@cmasch2020.07 | 93.4 | |
| DWN (n=2)Model=FFN2026.02 | 89.12 | |
| DWN (n=6)Model=FFN2026.02 | 89.01 | |
| BitLogicModel=CNN, Gate count=253.4 K2026.02 | 81.07 |