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Papers Benchmarks Datasets Tasks

RF Fingerprinting research benchmarks · SOTA2 Research

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Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Shapelet-Enhanced Large Language Models

0.795Accuracy

7

Feb 26, 2026

82.5Accuracy

7

Feb 26, 2026

Shapelet-Enhanced Large Language Models

19.95Accuracy

7

Feb 26, 2026

72.64Accuracy

7

Feb 26, 2026

Shapelet-Enhanced Large Language Models

0.236Accuracy

7

Feb 26, 2026

NetSTAR (Source)

90.79Accuracy

7

Feb 26, 2026

Shapelet-Enhanced Large Language Models

87.87Accuracy

7

Feb 26, 2026

100Accuracy

7

Feb 26, 2026

Shapelet-Enhanced Large Language Models

75.85Accuracy

7

Feb 26, 2026

Shapelet-Enhanced Large Language Models

97.49Accuracy

7

Feb 26, 2026

ORACLE (Target)

22.31Accuracy

7

Feb 26, 2026

ORACLE (Source)

90.23Accuracy

7

Feb 26, 2026

BLE unseen domain (test)

Shapelet-Enhanced Large Language Models

85.11Accuracy

4

Feb 26, 2026

LoRa unseen domain (test)

Shapelet-Enhanced Large Language Models

94.29Accuracy

4

Feb 26, 2026

NetSTAR unseen domain (test)

43.15Accuracy

4

Feb 26, 2026

CORES unseen domain (test)

Shapelet-Enhanced Large Language Models

99.54Accuracy

4

Feb 26, 2026

WiSig unseen domain (test)

91.74Accuracy

4

Feb 26, 2026

ORACLE unseen domain (test)

Shapelet-Enhanced Large Language Models

84Accuracy

4

Feb 26, 2026

Popular datasets

ORACLE WiSig CORES NetSTAR LoRa

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