Classification on Eye-Movements
60.8AccuracyTN
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| TNFLOPs=1636, Param.=16752024.05 | 60.8 | — | — | — | — | |
| NS-TDFLOPs=400, Param=7582025.06 | 59.4 | — | — | — | — | |
| NS-TD2025.06 | 59.4 | — | — | — | — | |
| NS-SRFLOPs=784, Param=4062025.06 | 58.99 | — | — | — | — | |
| NS-SR2025.06 | 58.99 | — | — | — | — | |
| KANFLOPs=6894, Param.=17012024.05 | 58.26 | — | — | — | — | |
| KANFLOPs=6704, Param=18002025.06 | 58.19 | — | — | — | — | |
| KAN2025.06 | 58.19 | — | — | — | — | |
| ChebyKANFLOPs=2250, Param.=9452024.05 | 57.77 | — | — | — | — | |
| MLPFLOPs=400, Param=2142025.06 | 56.99 | — | — | — | — | |
| MLP2025.06 | 56.99 | — | — | — | — | |
| FastKANFLOPs=4662, Param.=17852024.05 | 54.14 | — | — | — | — | |
| KANbasis functions=fixed, tuned2025.07 | 53.21 | — | — | — | — | |
| MLP2025.07 | 50.8 | — | — | — | — | |
| InfinityKANbasis functions=automatically learned2025.07 | 50.14 | — | — | — | — | |
| FourierKANFLOPs=4320, Param.=19022024.05 | 49.19 | — | — | — | — | |
| CLLMMethod Category=Prompt-based2025.12 | — | 45.7 | 0.49 | 1,000 | — | |
| CTGANMethod Category=GAN-based2025.12 | — | 44.35 | 3.43 | 10,000 | — | |
| CuBASSampling Strategy=CuBAS, Classifier=k-NN, Training set size=10%-80%, Repetitions=1002026.07 | — | — | — | — | 59.63 | |
| DATEMethod Category=Our Method2025.12 | — | 43.098 | 6.16 | 62 | — | |
| DATE-IMethod Category=Our Method2025.12 | — | 44.026 | 4.14 | 33 | — | |
| EntropySampling Strategy=Entropy, Classifier=k-NN, Training set size=10%-80%, Repetitions=1002026.07 | — | — | — | — | 50.24 | |
| EPIC-IMethod Category=Prompt-based2025.12 | — | 45.467 | 1 | 1,221 | — | |
| EPIC-IIMethod Category=Prompt-based2025.12 | — | 41 | 10.73 | 430 | — | |
| EPIC-IIIMethod Category=Prompt-based2025.12 | — | 44.59 | 2.91 | 392 | — | |
| GReaT-IIIMethod Category=Fine-tuning based2025.12 | — | 46.189 | -0.57 | 176 | — | |
| GReaT-VMethod Category=Fine-tuning based2025.12 | — | 43.116 | 6.12 | 1,000 | — | |
| RandomSampling Strategy=Random, Classifier=k-NN, Training set size=10%-80%, Repetitions=1002026.07 | — | — | — | — | 48.42 |