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ResearchFormerly WizWand

Fine-grained Image Classification on Oxford 102 Flowers (test)

99.5AccuracyTPSKG
65.991274.690683.3992.0894Jul 14, 2021Mar 20, 2022Nov 25, 2022Aug 2, 2023Apr 8, 2024Dec 14, 2024Aug 21, 2025
Updated 7mo ago

Evaluation results

MethodLinks
TPSKGBackbone=ViT-B-16, Resolution=448 x 4482021.0799.5
ViTBackbone=ViT-B-16, Resolution=448 x 4482021.0799.2
ViT-ResNet-50Backbone=ViT&ResNet-50, Resolution=448 x 4482021.0798.5
SR-GNNBackbone=Xception, Attentional Refinement=true2022.0997.9
MCLBackbone=Bilinear CNN, Joint Learning=true2022.0997.7
CAPBackbone=Xception2022.0997.7
DSTLBackbone=Inception-V3, Joint Learning=true2022.0997.6
BiM-PMABackbone=VGG-16, Resolution=448 x 4482021.0797.4
PMABackbone=VGG-162022.0997.4
Cos.LsBackbone=ResNet-50, Joint Learning=true2022.0997.2
OPAMBackbone=VGG, Joint Learning=true2022.0997.1
SR-GNNBackbone=Xception, Attentional Refinement=false2022.0997.1
SJFTBackbone=ResNet-152, Joint Learning=true2022.0997
IntActBackbone=VGG-192022.0996.4
PBCBackbone=GoogleNet, Resolution=224 x 2242021.0796.1
PBCBackbone=GoogLeNet2022.0996.1
MGEBackbone=ResNet-502022.0995.9
PC-CNNBackbone=DenseNet-161, Resolution=224 x 2242021.0793.6
Base CNNBackbone=Xception2022.0991.9
Oracle ADAPTBP-free=true, Evaluation Protocol=Transductive2025.0881.93
ADAPTBP-free=true, Evaluation Protocol=Transductive2025.0880.11
ADAPTBP-free=true, Evaluation Protocol=Online2025.0875.56
CLIPBP-free=N/A, Evaluation Protocol=Online2025.0867.28