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Visual Question Answering research benchmarks – Page 37 · SOTA2 Research

Visual Question Answering

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

72.9F1 Score

5

Mar 4, 2026

78.6EM

5

Mar 4, 2026

68Accuracy (clean)

5

Feb 26, 2026

59.6Accuracy (Clean)

5

Feb 26, 2026

73.2Accuracy (clean)

5

Feb 26, 2026

V2V-QA 1.0 (V2X-split)

60.5F1 (Q1)

5

Feb 26, 2026

79.65Exact Match

5

Feb 26, 2026

63Accuracy

5

Feb 26, 2026

VQA Reliable Challenge v2 (test-standard)

84.11Accuracy

5

Feb 26, 2026

Open Images cross-task (test)

44.7Accuracy

5

Feb 26, 2026

SLAKE Unrelated Sentences 1.0 (test)

70.85ACC

5

Feb 26, 2026

SLAKE Replace Characters 1.0 (test)

71.59Accuracy

5

Feb 26, 2026

SLAKE Swap Characters 1.0 (test)

69.93Accuracy

5

Feb 26, 2026

SLAKE Add Characters 1.0 (test)

73.8Accuracy

5

Feb 26, 2026

SLAKE Delete Characters 1.0 (test)

73.25Accuracy

5

Feb 26, 2026

Quilt-VQA (test)

60.9Recall

5

Feb 26, 2026

84.3Accuracy

5

Feb 26, 2026

32.3RQ

5

Feb 26, 2026

MIMIC-VQA (test)

86.4Accuracy

5

Feb 26, 2026

48.74VQA Score

5

Feb 26, 2026

68.63VQA Score

5

Feb 26, 2026

ImageClef-VQA 2019

70.5Overall Accuracy

5

Feb 26, 2026

0.23FTL (s)

5

Feb 26, 2026

1,511Perception Score

5

Feb 26, 2026

MiniGPT-v2 (7B)-chat

58.8Top-1 Acc

5

Feb 26, 2026

Page 37 of 46

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