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Time Series Classification on FaceDetection

79AccuracyLPTM
47.855.96472.1Feb 13, 2022Oct 18, 2022Jun 22, 2023Feb 24, 2024Oct 28, 2024Jul 2, 2025Mar 7, 2026

Evaluation results

MethodLinks
LPTM2023.1179
CRT2023.1178
SimMTM2023.1173
MTCN2026.0370.8
Chimera2026.0370.4
GTM2025.0269.9
VI 2D Mamba2026.0369.6
TransformerArchitecture=Transformer2024.0569.23
GPT4TS2025.0269.2
AarenArchitecture=Aaren2024.0569.06
ReformerMethod Category=Transformer2022.0268.6
Reformer2026.0368.6
TimesNet2026.0368.6
TimesNet2025.0268.6
Autoformer2026.0368.4
PatchTST2026.0368.3
Stationary2026.0368
DLinear2026.0368
FlowformerMethod Category=Transformer2022.0267.6
Flowformer2026.0367.6
LightTS2026.0367.5
TransformerMethod Category=Transformer2022.0267.3
YOSO-EMethod Category=Transformer2022.0267.3
cosFormerMethod Category=Transformer2022.0267.1
Linear TransformerMethod Category=Transformer2022.0267
PerformerMethod Category=Transformer2022.0267
Informer2026.0367
LETBackbone=Qwen-0.5B, Alignment depth=6, Teacher Model=TimesNet2026.0266.9
LSSL2026.0366.7
ConvTran2026.0266.3
ETSformer2026.0366.3
iTransformer2025.0266.3
FEDformer2026.0366
WaveFormer2026.0265.8
LSTNet2026.0365.7
Pyraformer2026.0365.7
PatchTST2026.0265.4
UNITS-SUP2025.0265.4
SoftMethod Category=Transformer2022.0264.8
RocketMethod Category=Classical Methods2022.0264.7
TST2026.0264.7
XGBoostMethod Category=Classical Methods2022.0263.3
TARNet2023.1163
LongformerMethod Category=Transformer2022.0262.6
TST2023.1162
Qwen-0.5BBackbone=Qwen-0.5B, Training=fine-tuning2026.0259.2
TimesNet2023.1159
ResNet2026.0258.4
UNITS-PMT2025.0258
LSTMMethod Category=RNN2022.0257.7
LSTM2026.0357.7
IT2026.0257.5
TS-TCC2023.1154
DTWMethod Category=Classical Methods2022.0252.9
Unsupervised TCNMethod Category=TCN2022.0252.8
Informer2023.1151
TS2Vec2023.1151
Autoformer2023.1149