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ResearchFormerly WizWand

Fine-Grained Visual Classification on FGVC-Aircrafts

0.8834Top-1 AccuracyS2-FracMix
0.7769040.8045520.83220.859848Jun 24, 2026
Updated 4mo ago

Evaluation results

MethodLinks
S2-FracMixBackbone=ResNeXt502026.060.8834
AdAutoMixBackbone=ResNeXt502026.060.8716
AutoMixBackbone=ResNeXt502026.060.8672
ManifoldMixBackbone=ResNeXt502026.060.866
FMixBackbone=ResNeXt502026.060.8623
PuzzleMixBackbone=ResNeXt502026.060.8623
MixUpBackbone=ResNeXt502026.060.8518
VanillaBackbone=ResNeXt502026.060.851
CutMixBackbone=ResNeXt502026.060.8455
SaliencyMixBackbone=ResNeXt502026.060.8431
ResizeMixBackbone=ResNeXt502026.060.8408
S2-FracMixBackbone=ResNet182026.060.8281
AdAutoMixBackbone=ResNet182026.060.8173
AutoMixBackbone=ResNet182026.060.8137
PuzzleMixBackbone=ResNet182026.060.8076
ManifoldMixBackbone=ResNet182026.060.8068
VanillaBackbone=ResNet182026.060.8023
SaliencyMixBackbone=ResNet182026.060.8002
MixUpBackbone=ResNet182026.060.7952
FMixBackbone=ResNet182026.060.7936
CutMixBackbone=ResNet182026.060.7884
ResizeMixBackbone=ResNet182026.060.781