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ResearchFormerly WizWand

Fine-grained Image Classification on Birds 1.0 (val)

88.2AccuracyMPN-COV + SEB
81.33683.11884.986.682May 26, 2022
Updated 8mo ago

Evaluation results

MethodLinks
MPN-COV + SEBBackbone=EfficientNet-b52022.0588.2
MPN-COVBackbone=EfficientNet-b52022.0587.3
MPN-COV + SEBBackbone=ResNet-1522022.0587.2
iSQRT-COVBackbone=EfficientNet-b52022.0587.1
MPN-COV + SEBBackbone=ResNet-1012022.0587
MoNetBackbone=VGG-162022.0586.4
KPBackbone=VGG-162022.0586.2
MPN-COV + SEBBackbone=ResNet-502022.0586.2
MPN-COVBackbone=ResNet-1522022.0586.1
iSQRT-COVBackbone=ResNet-1012022.0586
iSQRT-COVBackbone=ResNet-1522022.0585.9
Improved B-CNNBackbone=VGG-162022.0585.8
GPBackbone=VGG-162022.0585.8
CBP + RUNBackbone=VGG-162022.0585.7
MPN-COV + SEBBackbone=VGG-162022.0585.7
MPN-COVBackbone=ResNet-1012022.0585.7
KPBackbone=ResNet-502022.0584.7
iSQRT-COVBackbone=ResNet-502022.0584.7
MPN-COVBackbone=ResNet-502022.0584.3
LRBPBackbone=VGG-162022.0584.2
B-CNNBackbone=VGG-162022.0584.1
MPN-COVBackbone=VGG-162022.0583.4
iSQRT-COVBackbone=VGG-162022.0583.1
CBPBackbone=ResNet-502022.0581.6