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Benchmarks
Intra-class Fine-grained Recognition on BREEDS
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70.72
Accuracy (Living17)
Fine upper-bound
47.892
53.8185
59.745
65.6715
Nov 18, 2023
Accuracy (Living17)
Accuracy (Nonliving26)
Accuracy (Entity13)
Accuracy (Entity30)
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy (Living17)
Accuracy (Nonliving26)
Accuracy (Entity13)
Accuracy (Entity30)
Fine upper-bound
Backbone=ResNet-50, Sh...
2023.11
70.72
74.02
72.24
73.86
PE-HCM
Backbone=ResNet-50, Sh...
2023.11
57.11
58.63
44.85
51.24
SCGM-A
Backbone=ResNet-50, Sh...
2023.11
53.88
55.12
45.09
50.02
SCGM-G
Backbone=ResNet-50, Sh...
2023.11
53.48
57.32
43.89
46.8
ANCOR-fc
Backbone=ResNet-50, Sh...
2023.11
51.07
53.51
41.83
47.82
ANCOR
Backbone=ResNet-50, Sh...
2023.11
48.77
49.64
42
45.17
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