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Benchmarks
Fine-Grained Visual Classification on SoyGene
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88.1
Top-1 Accuracy
DHCNet
12.596
32.198
51.8
71.402
Apr 21, 2026
Top-1 Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Top-1 Accuracy
DHCNet
Backbone=Swin-B
2026.04
88.1
CSDNet
Backbone=Swin-B
2026.04
86.9
FDCL-DA
Backbone=Swin-B
2026.04
84.6
DHCNet
Backbone=ResNet-50
2026.04
81.2
CLE-ViT
Backbone=Swin-B
2026.04
78.5
MaskCOV
Backbone=ResNet-50
2026.04
73.6
DCL
Backbone=ResNet-50
2026.04
71.4
FDCL-DA
Backbone=ResNet-50
2026.04
70
DeiT
Backbone=ViT-B
2026.04
66.8
CSDNet
Backbone=ResNet-50
2026.04
66.5
BYOL
Backbone=ResNet-50
2026.04
60.7
ADL
Backbone=ResNet-50
2026.04
55.2
TransFG
Backbone=ViT-B
2026.04
22.4
SIM-OFE
Backbone=ViT-B
2026.04
15.5
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