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Time-series Classification on PAMAP2

97AccuracyTARNet
1.73626.46851.275.932Nov 19, 2023Apr 24, 2024Sep 28, 2024Mar 5, 2025Aug 9, 2025Jan 13, 2026Jun 20, 2026

Evaluation results

MethodLinks
TARNet2023.1197——
LPTM2023.1197——
TST2023.1196——
TS-TCC2023.1194——
TS2Vec2023.1193——
SimMTM2023.1193——
MONAQFLASH=14.528, RAM=23.316, MAC=488,480, Energy=3.20E-04, Latency=25.5592025.0591.2——
TENet(6)FLASH=172.504, RAM=343.956, MAC=11,022,688, Energy=1.96E-02, Latency=1489.6232025.0590.1——
Grid SearchFLASH=24.096, RAM=27.464, MAC=204,073, Energy=4.82E-04, Latency=37.9152025.0589.5——
CRT2023.1188——
Autoformer2023.1187——
TimesNet2023.1184——
D-CNNFLASH=28.128, RAM=23.256, MAC=158,100, Energy=6.25E-04, Latency=47.4992025.0583.9——
DS-CNNFLASH=22.384, RAM=42.248, MAC=863,400, Energy=1.35E-03, Latency=101.2772025.0583.1——
GPT-4oFLASH=1245.584, RAM=41.308, MAC=4,052,224, Energy=1.69E-03, Latency=133.3912025.0578.9——
SupervisedEvaluation Protocol=Linear evaluation2026.0576.1——
TinyTNASFLASH=11.848, RAM=24.864, MAC=104,199, Energy=3.95E-04, Latency=29.6312025.0575.2——
CNNFLASH=23.168, RAM=32.344, MAC=3,945,600, Energy=2.00E-03, Latency=140.9202025.0573.9——
Informer2023.1173——
Random ForestEvaluation Protocol=Linear evaluation2026.0572.87——
ShiFTEvaluation protocol=Linear probing, Total Training Time (h)=2.352026.0672.74——
Rand Init.Evaluation protocol=Linear probing, Total Training Time (h)=<0.012026.0671.91——
Random Init.Evaluation Protocol=Linear evaluation2026.0571.73——
TNCEvaluation Protocol=Linear evaluation2026.0571.59——
CoSTEvaluation Protocol=Linear evaluation2026.0571.51——
SoftEvaluation Protocol=Linear evaluation2026.0571.38——
Di-COTEvaluation Protocol=Linear evaluation2026.0571.38——
TF-CEvaluation Protocol=Linear evaluation2026.0571.3——
SimCLREvaluation protocol=Linear probing, Total Training Time (h)=3.112026.0671.19——
TS2VecEvaluation protocol=Linear probing, Total Training Time (h)=3.022026.0670.74——
InfoTSEvaluation protocol=Linear probing, Total Training Time (h)=2.912026.0670.65——
InfoTSEvaluation Protocol=Linear evaluation2026.0570.63——
TS-TCCEvaluation Protocol=Linear evaluation2026.0570.42——
TS2VecEvaluation Protocol=Linear evaluation2026.0570.37——
SimMTMEvaluation protocol=Linear probing, Total Training Time (h)=10.232026.0670.15——
CaTTEvaluation Protocol=Linear evaluation2026.0569.86——
SimMTMEvaluation Protocol=Linear evaluation2026.0569.75——
GPT-4o-miniFLASH=312.360, RAM=22.876, MAC=1,247,776, Energy=6.46E-04, Latency=59.5652025.0567.2——
Random ForestEvaluation protocol=Linear evaluation, Labeled data=1%2026.0564.94——
Raw DataEvaluation Protocol=Linear evaluation2026.0564.04——
Di-COTEvaluation protocol=Linear evaluation, Labeled data=1%2026.0561.9——
CaTTEvaluation protocol=Linear evaluation, Labeled data=1%2026.0560.57——
InfoTSEvaluation protocol=Linear evaluation, Labeled data=1%2026.0560.53——
SupervisedEvaluation protocol=Linear evaluation, Labeled data=1%2026.0560.23——
TS2VecEvaluation protocol=Linear evaluation, Labeled data=1%2026.0559.99——
CoSTEvaluation protocol=Linear evaluation, Labeled data=1%2026.0559.89——
SoftEvaluation protocol=Linear evaluation, Labeled data=1%2026.0559.7——
TF-CEvaluation protocol=Linear evaluation, Labeled data=1%2026.0559.52——
Random Init.Evaluation protocol=Linear evaluation, Labeled data=1%2026.0559.42——
TNCEvaluation protocol=Linear evaluation, Labeled data=1%2026.0559.13——
SimMTMEvaluation protocol=Linear evaluation, Labeled data=1%2026.0558.66——
TS-TCCEvaluation protocol=Linear evaluation, Labeled data=1%2026.0558.38——
Raw DataEvaluation protocol=Linear evaluation, Labeled data=1%2026.0557.17——
LSTMFLASH=10.048, RAM=23.056, MAC=64, Energy=3.40E-08, Latency=0.1042025.0552.1——
ConvLSTMFLASH=12.360, RAM=41.140, MAC=976,128, Energy=6.48E-04, Latency=44.6122025.0524.8——
MLPFLASH=330.616, RAM=21.660, MAC=327,104, Energy=3.33E-06, Latency=5.6142025.0520.1——
TCNFLASH=35.176, RAM=34.176, MAC=1,593,664, Energy=2.64E-03, Latency=235.8232025.0514.9——
Random SearchFLASH=57.192, RAM=31.688, MAC=174,016, Energy=5.91E-04, Latency=37.9922025.0510.4——
MiniRocketEvaluation Protocol=Linear evaluation2026.0510.28——
MiniRocketEvaluation protocol=Linear evaluation, Labeled data=1%2026.055.4——
ConvTran2026.05—230.08
ET2026.05—54.90.067
FCN2026.05—29.30.177
GRU2026.05—30.90.11
HInception2026.05—340.287
Hydra2026.05—19.60.095
Informer2026.05—27.70.116
LSTM2026.05—30.30.1
Mamba12026.05—27.50.114
Mamba22026.05—30.20.138
MS42026.05—28.70.14
MS4N2026.05—28.60.102
Quant2026.05—24.50.118
Transformer2026.05—26.10.117