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Visual Question Answering research benchmarks – Page 31 · SOTA2 Research

Visual Question Answering

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

VQA Average (VQAv2, OK-VQA, GQA)

66.9Accuracy (Clean)

7

Jun 4, 2026

OpenViVQA (test)

3.213CIDEr

7

Feb 26, 2026

0.254BLEU-1

7

Feb 26, 2026

69.8Presence Precision@1

7

Feb 26, 2026

58.65VQA Accuracy

7

Feb 26, 2026

ViSignVQA (test)

51.76F1 Score

7

Feb 26, 2026

75.9Accuracy (Single)

7

Feb 26, 2026

58.3Accuracy

7

Feb 26, 2026

IconQA text-based multiple-choice downstream (test)

58.3TextVQA Accuracy

7

Feb 26, 2026

70.8TextVQA

7

Feb 26, 2026

70.8TextVQA

7

Feb 26, 2026

70.8TextVQA

7

Feb 26, 2026

RealWorldQA 2024

DeepSeekVL-2-Tiny

64.8Score

7

Feb 26, 2026

55.1Score

7

Feb 26, 2026

87Accuracy

7

Mar 6, 2026

77.7Accuracy

7

Mar 6, 2026

61.3Exact Match

7

Feb 26, 2026

TextVQA with OCR hints (val)

71.5Accuracy

7

Feb 27, 2026

0.637GPT Score

7

Feb 26, 2026

VQA-X e-ViL (test)

89.9Human Evaluation Score

7

Feb 26, 2026

58.35Overall Accuracy

7

Feb 26, 2026

VQA loc v2.0 (val)

Transformer+CATT

67.33Accuracy

7

Feb 26, 2026

87Accuracy

7

Feb 26, 2026

CLEVR pixels (test)

95.5Overall Accuracy

7

Feb 26, 2026

41.56Accuracy

7

Feb 27, 2026

Page 31 of 46

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