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ResearchFormerly WizWand

Image Classification on Fashion-MNIST standard (test)

96.3AccuracyWRN-28-10 + Random Erasing
80.460884.572988.68592.7971Jul 30, 2020Jul 1, 2021Jun 2, 2022May 5, 2023Apr 5, 2024Mar 7, 2025Feb 7, 2026
Updated 8mo ago

Evaluation results

MethodLinks
WRN-28-10 + Random ErasingSubmitter=@zhunzhong072020.0796.3
AVG-SoftmaxSubmitter=N/A2020.0795.92
EXT-SoftmaxSubmitter=N/A2020.0795.91
WRN-28-10Submitter=@zhunzhong072020.0795.9
E2E-3MSubmitter=N/A2020.0795.85
Dual path network with WRN-28-10Submitter=@Queequeg2020.0795.7
SeResNeXt101-STDSubmitter=N/A2020.0795.41
DENSERSubmitter=@fillassuncao2020.0795.3
MobileNetSubmitter=@Bojone2020.0795
CNN with optional shortcutsSubmitter=@kennivich2020.0794.7
Google AutoMLSubmitter=@Sebastian Heinz2020.0793.9
BitLogicModel=FFN, Gate count=384 K2026.0293.81
Capsule NetworkSubmitter=@XifengGuo2020.0793.6
VGG16Submitter=@QuantumLiu2020.0793.5
LeNetSubmitter=@cmasch2020.0793.4
DWN (n=2)Model=FFN2026.0289.12
DWN (n=6)Model=FFN2026.0289.01
BitLogicModel=CNN, Gate count=253.4 K2026.0281.07