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Fine-Grained Visual Classification on SoyGlobal
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81.2
Top-1 Accuracy
DHCNet
18.8
35
51.2
67.4
Apr 21, 2026
Top-1 Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Top-1 Accuracy
DHCNet
Backbone=Swin-B
2026.04
81.2
FDCL-DA
Backbone=Swin-B
2026.04
79.7
CSDNet
Backbone=Swin-B
2026.04
76.2
CLE-ViT
Backbone=Swin-B
2026.04
75.2
SIM-OFE
Backbone=ViT-B
2026.04
70.7
DHCNet
Backbone=ResNet-50
2026.04
60.1
FDCL-DA
Backbone=ResNet-50
2026.04
54.2
CSDNet
Backbone=ResNet-50
2026.04
51.1
MaskCOV
Backbone=ResNet-50
2026.04
50.3
DeiT
Backbone=ViT-B
2026.04
45.3
DCL
Backbone=ResNet-50
2026.04
42.2
BYOL
Backbone=ResNet-50
2026.04
41.4
ADL
Backbone=ResNet-50
2026.04
39.4
TransFG
Backbone=ViT-B
2026.04
21.2
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