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Visual Question Answering research benchmarks – Page 19 · SOTA2 Research

Visual Question Answering

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

92.7Aggregated Score

14

Mar 20, 2026

61.2Accuracy

14

Mar 4, 2026

50.6Accuracy

14

Apr 7, 2026

80.5Accuracy

14

Feb 27, 2026

39.24Accuracy

14

Feb 27, 2026

ViTextVQA 100 randomly sampled samples (test)

96.42F1 Score

14

Feb 26, 2026

0.743Single Accuracy

14

Feb 26, 2026

SLAKE, VQA-RAD, and PathVQA Error-specific Subsets

69.4MM

14

Feb 26, 2026

SLAKE, VQA-RAD, and PathVQA Pooled

45.6Accuracy

14

Feb 26, 2026

62.14Accuracy (%)

14

Feb 26, 2026

58.2Score

14

Feb 26, 2026

53.31Accuracy (1-Shot)

14

Feb 26, 2026

WinogroundVQA v1.0 (test)

Selective Decomposition

46.5Accuracy

14

Feb 26, 2026

VQA Introspect v1.0 (test)

Selective Decomposition

78.93Accuracy

14

Feb 26, 2026

A-OKVQA v1.0 (test)

Selective Decomposition

53.36Accuracy

14

Feb 26, 2026

RETVQA 1.0 (test)

84.2Accuracy

14

Feb 26, 2026

GQA single-model (test)

91.2Binary Accuracy

14

Feb 26, 2026

VQA Aggregated Subsets

100Average Ratio

13

Jun 11, 2026

77Accuracy

13

Jun 11, 2026

Multimodal Benchmark Suite Aggregate

100Average Ratio

13

Jun 11, 2026

64.2Accuracy (GQA)

13

May 29, 2026

64.2Score

13

May 28, 2026

99.42Task 1 Performance

13

May 26, 2026

78.4BLEU

13

May 12, 2026

PerceptionDLM-Base

78.9Average Score

13

Jun 19, 2026

Page 19 of 46

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