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Zero-shot recognition research benchmarks · SOTA2 Research

Zero-shot recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

68.6Avg Top-1 Acc

34

Feb 26, 2026

70.3Top-1 Accuracy

25

Feb 27, 2026

Animals with Attributes (AwA)

76.33Accuracy

24

Feb 26, 2026

65.4Top-1 Accuracy (ATT)

19

Feb 26, 2026

CUB pure ZSL setting (target classes)

59.5Top-1 Accuracy

18

Feb 27, 2026

SUN pure ZSL setting (target classes)

63.6Top-1 Accuracy (per-class)

17

Feb 27, 2026

APY pure ZSL setting (target classes)

43.6Top-1 Accuracy (per-class)

16

Feb 27, 2026

AWA2 pure ZSL setting (target classes)

71.2Top-1 Accuracy (per-class)

15

Feb 27, 2026

aPascal & aYahoo (aP&Y)

43.1Top-1 Accuracy

13

Feb 26, 2026

CUB att (unlabeled train (Vut))

56.6Top-1 Acc

8

Feb 26, 2026

AwA unlabeled att (train)

78Top-1 Acc

8

Feb 26, 2026

82.5Accuracy

7

Feb 26, 2026

88.3Average Accuracy (Zero-shot)

5

Feb 26, 2026

Akata et al. [2]

40.3Accuracy

5

Feb 26, 2026

—

—Top-1 Acc (ZSL)

0

Feb 26, 2026

—

—Top-1 Acc (AWA2 ZSL)

0

Feb 26, 2026

—

—Top-1 Accuracy

0

Feb 26, 2026

Popular datasets

CUB AwA SUN AWA2 APY

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