Sequence Cross-Modal Transformer-15

Reported on 3 benchmarks across 1 task · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical3 results

Automatic Sleep Stage ClassificationonSleep-EDF
Accuracy· 2022-08-15
84.3
best: 84.4 (multi-head attention)
SOTA
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers arXiv:2208.06991
Automatic Sleep Stage ClassificationonSleep-EDF
Cohen’s Kappa score· 2022-08-15
0.785
SOTA
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers arXiv:2208.06991
Automatic Sleep Stage ClassificationonSleep-EDF
Number of parameters (M)· 2022-08-15
4.05
SOTA
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers arXiv:2208.06991