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Papers Benchmarks Datasets Tasks

Fine-grained Visual Recognition research benchmarks · SOTA2 Research

Fine-grained Visual Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Open-world FGVR Total (All)

74.8Average Accuracy

28

Feb 26, 2026

Open-world FGVR Unseen Categories

65.21Accuracy (Air)

28

Feb 26, 2026

Open-world FGVR (Seen Categories)

73.53Accuracy (Air)

28

Feb 26, 2026

Stanford Dogs (val)

74.38Top-1 Acc

24

Mar 25, 2026

Stanford40 (val)

60.21Top-1 Accuracy

24

Mar 25, 2026

71.97Top-1 Accuracy

24

Mar 25, 2026

79.37All-Shot Accuracy

16

Feb 26, 2026

Flower-102 (test)

96.5EM

9

Apr 21, 2026

Bird-200 (test)

89.7EM

9

Apr 21, 2026

84.4EM

9

Apr 21, 2026

85.8EM

9

Apr 21, 2026

67.2cACC

5

May 18, 2026

Popular datasets

Open-world FGVR CUB Flower BIRD Stanford Dogs

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