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Human Activity Recognition on PAMAP2 (test)

98AccuracyUniMTS
-2.95529623.25425249.463875.673348Dec 1, 2023Apr 14, 2024Aug 28, 2024Jan 11, 2025May 27, 2025Oct 10, 2025Feb 23, 2026

Evaluation results

MethodLinks
UniMTSEvaluation Protocol=Full-Shot, Task Level=Medium, Number of Classes=122024.109898.1———
Statistical Feature ExtractionClassifier=XGBoost2026.0297.2—97.697.997.3
ViTST2026.0295.8—96.596.296.1
Statistical Feature ExtractionClassifier=RF2026.0295.3—9696.895.3
ImageBindEvaluation Protocol=Full-Shot, Task Level=Medium, Number of Classes=122024.1094.394.6———
SHAREEvaluation Protocol=Full-Shot, Task Level=Medium, Number of Classes=122024.1094.194.8———
Statistical Feature ExtractionClassifier=SVM2026.0291.6—92.692.493
MERGE2025.0991.37—90.44——
Statistical Feature ExtractionClassifier=LR2026.0291—92.392.292.6
Raindrop2026.0288.5—89.889.989.9
FuseMoE2025.0987.74—86.51——
MISTS2025.0985.34—85.79——
I2MoE2025.0984.55—84.24——
Trans-mean2026.0283.7—85.484.986.4
Transformer2026.0283.5—8584.886
GRU-D2026.0283.3—84.884.685.2
Transformer2025.0982.48—82.57——
DGM^2-O2026.0282.4—84.385.283.9
MulT2025.0982.23—81.87——
MTGNN2026.0280.3—85.985.286.1
mTAND2025.0974.62—74.38——
mTAND2026.0274.6—76.874.379.5
IP-Net2026.0274.3—76.675.677.9
SeFT2026.0267.1—68.57068.2
AFVF2023.120.967296.65———
Contrastive Supervision2023.120.932292.97———
Multi-ResAtt2023.120.931992.96———
Marine predators2023.120.9276————
DanHAR2023.12—93.16———
MTMDUnknown Proportion=30%2025.12——82.37——
MTMDUnknown Proportion=50%2025.12——70.33——
MTMDUnknown Proportion=70%2025.12——67.05——
RAG-HARUnknown Proportion=30%2025.12——88.75——
RAG-HARUnknown Proportion=50%2025.12——77.39——
RAG-HARUnknown Proportion=70%2025.12——69.92——