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Zero-shot Classification research benchmarks – Page 2 · SOTA2 Research

Zero-shot Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

85.4Accuracy

18

May 19, 2026

AwA 10-way 0-shot conventional setting

86.7Hit@1 Accuracy

18

Feb 26, 2026

88.9Top-1 Clean Acc

17

Feb 27, 2026

8.06Attack Success Rate

16

May 22, 2026

92.41Attack Success Rate

16

May 22, 2026

80.38Attack Success Rate

16

May 22, 2026

CUB 50-way 0-shot conventional setting

62Top-1 Accuracy

16

Feb 26, 2026

ImageNet 2015 (test)

79.12Top-1 Accuracy (Zero-shot)

15

Jun 16, 2026

82.69AUROC

13

Jun 24, 2026

80.33AUROC

13

Jun 24, 2026

76.35AUROC

13

Jun 24, 2026

84.26AUROC (Zero-shot)

13

Jun 24, 2026

64.7ASR

13

May 20, 2026

86.2ASR

13

May 20, 2026

ImageNet zero-shot 1k

5.1IN1k Accuracy (Zero-shot)

12

Jun 2, 2026

Evaluation Suite Zero-shot (PiQA, LAMBDA, ARC-e, ARC-c, HellaS)

Longformer + SFA (k=8)

5.23Decode Latency

12

Mar 25, 2026

ImageNet & Variants (test)

58.69Zero-shot Accuracy (ImageNet & Variants)

10

Mar 5, 2026

DataComp (test)

57.34DataComp Average

10

Mar 5, 2026

Fine-Grained datasets (OxfordPets, Flowers102, Food101, StanfordCars)

76.7Top-1 Accuracy (Clean)

10

Feb 27, 2026

Zero-shot Evaluation Suite (AC, AE, WI, QA) v1

46.2AC Score

10

Feb 26, 2026

54.6Top-1 Clean Acc

10

Feb 27, 2026

23.8Top-1 Clean Acc

10

Feb 27, 2026

19.2Top-1 Clean Acc

10

Feb 27, 2026

65.4Top-1 Clean Acc

10

May 19, 2026

88Top-1 Clean Acc

10

Feb 27, 2026

Page 2 of 4

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