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Papers Benchmarks Datasets Tasks

Vision Understanding research benchmarks · SOTA2 Research

Vision Understanding

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

85Accuracy

141

Jul 7, 2026

72.9Accuracy

71

Jul 7, 2026

86.33Accuracy

45

Jun 23, 2026

LLaVA-FastV (k=3, r=0.75)

54.7VizWiz Score

24

Mar 4, 2026

77.76Accuracy

22

Feb 26, 2026

MMT-47 Vision Benchmark

78.12Accuracy

17

Apr 6, 2026

75.4Overall Score

17

Feb 26, 2026

68.2Accuracy

15

Mar 23, 2026

50.6Accuracy

11

May 19, 2026

VIG training + VAR

63Score

10

Feb 26, 2026

LLaVA-FastV (k=3, r=0.75)

74.2LLaVA-Wild Accuracy

8

Feb 26, 2026

MMBench v1.0 (test)

LLaVA-1.5 13B + VIG training

68.67Accuracy

6

Feb 26, 2026

MMVet v1.0 (test)

LLaVA-1.5 13B + VIG training

36.87Score

6

Feb 26, 2026

LLaVAW v1.0 (test)

LLaVA-1.5 13B + VIG training

73.45Score

6

Feb 26, 2026

Common Visual Understanding Benchmarks (GQA, MMB, MME, POPE, SEED, SQA, VQAv2)

61.1GQA Score

5

Feb 26, 2026

Popular datasets

MMMU MMBench LLaVA RealworldQA Vizwiz

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