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Papers Benchmarks Datasets Tasks

Material Classification research benchmarks · SOTA2 Research

Material Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Dual-stream framework

100Mean Accuracy

52

Mar 19, 2026

47.37mAP

21

Jun 11, 2026

Masubuchi BN (T1), Graphene (T2), MoS2 (T3), WTe2 (T4)

92.68Accuracy (T1: Masubuchi BN)

13

Mar 4, 2026

84.16SRE

9

Mar 20, 2026

ObjectBench GelSight 1.0 (unseen)

80.82Accuracy

8

Feb 26, 2026

GelSight sensor dataset Touch and Go (test)

TaRF (Real + Estimated)

59Material Acc

8

Feb 26, 2026

Greatest Hits (test)

54.8Match Accuracy

8

Feb 26, 2026

Touch-and-Go (original)

67.77Accuracy

7

Apr 14, 2026

3D In-Air Sonar Sensing dataset (train)

Gradient-Boosted Trees

91.37Kappa

6

Mar 31, 2026

3D In-Air Sonar Sensing dataset (test)

Gradient-Boosted Trees

78.1Kappa (κ)

6

Mar 31, 2026

3D physical scene properties (test)

Stable Diffusion

83.6ROC AUC

6

Feb 26, 2026

MMAudio-LABEL (Joint Heads (finetune))

61Accuracy

5

May 4, 2026

ObjectFolder 40% 1.0 (test)

0.24BPP Score

5

Feb 26, 2026

TouchandGo (40% test)

24BPP Score

5

Feb 26, 2026

KAIST polarimetric dataset 23-class

Optimal Transport - Normalized

87.9Top-1 Accuracy

4

Jun 9, 2026

dual-stream framework

92Accuracy

4

Mar 19, 2026

dual-stream framework

64Accuracy

4

Mar 19, 2026

Popular datasets

Greatest Hits Google FMD Touch-and-go GelSight sensor dataset

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