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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 1mo ago
Evaluation Results
Method
Method
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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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