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ResearchFormerly WizWand

Fine-grained Image Classification on Flowers (test)

97.9AccuracySR-GNN
64.6273.2681.990.54Sep 5, 2022Sep 18, 2022Oct 2, 2022Oct 15, 2022Oct 29, 2022Nov 11, 2022Nov 25, 2022
Updated 8mo ago

Evaluation results

MethodLinks
SR-GNN2022.0997.9
SotA2022.0997.7
GIF-SDBackbone=ResNet-50, Expansion Ratio=20x2022.1188.3
GIF-DALLEBackbone=ResNet-50, Expansion Ratio=20x2022.1188.2
GIF-MAEBackbone=ResNet-50, Expansion Ratio=20x2022.1184.4
DALL-E2Backbone=ResNet-50, Expansion Ratio=20x2022.1184.1
RandAugmentBackbone=ResNet-50, Expansion Ratio=20x2022.1183.8
GridMaskBackbone=ResNet-50, Expansion Ratio=20x2022.1180.7
SDBackbone=ResNet-50, Expansion Ratio=20x2022.1178.8
CutoutBackbone=ResNet-50, Expansion Ratio=20x2022.1177.8
MAEBackbone=ResNet-50, Expansion Ratio=20x2022.1176.3
Distillation of CLIPBackbone=ResNet-50, Expansion Ratio=1x2022.1175.1
OriginalBackbone=ResNet-50, Expansion Ratio=1x2022.1174.1
CLIPBackbone=CLIP, Expansion Ratio=1x, Evaluation Protocol=Zero-shot2022.1165.9