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ResearchFormerly WizWand

Fine-grained Image Classification on Cars 1.0 (val)

94.6AccuracyMPN-COV + SEB
88.3689.9891.693.22May 26, 2022
Updated 8mo ago

Evaluation results

MethodLinks
MPN-COV + SEBBackbone=EfficientNet-b52022.0594.6
MPN-COV + SEBBackbone=ResNet-1522022.0594.1
MPN-COV + SEBBackbone=ResNet-1012022.0593.9
MPN-COV + SEBBackbone=ResNet-502022.0593.6
MPN-COVBackbone=EfficientNet-b52022.0593.4
iSQRT-COVBackbone=EfficientNet-b52022.0593.3
MPN-COV + SEBBackbone=VGG-162022.0593
GPBackbone=VGG-162022.0592.8
MPN-COVBackbone=ResNet-1522022.0592.5
KPBackbone=VGG-162022.0592.4
iSQRT-COVBackbone=ResNet-1522022.0592.2
Improved B-CNNBackbone=VGG-162022.0592
MoNetBackbone=VGG-162022.0591.8
MPN-COVBackbone=ResNet-502022.0591.7
MPN-COVBackbone=ResNet-1012022.0591.7
iSQRT-COVBackbone=ResNet-1012022.0591.5
iSQRT-COVBackbone=ResNet-502022.0591.4
B-CNNBackbone=VGG-162022.0591.3
KPBackbone=ResNet-502022.0591.1
LRBPBackbone=VGG-162022.0590.9
MPN-COVBackbone=VGG-162022.0590.9
iSQRT-COVBackbone=VGG-162022.0590.1
CBPBackbone=ResNet-502022.0588.6