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Reported on 6 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision6 results

Person Re-IdentificationoneSports Sensors Dataset
LogLoss· 2020-11-02
0.02303
best: 0.01588 (SVM)
SOTA
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset arXiv:2011.00958
Skills EvaluationoneSports Sensors Dataset
LogLoss· 2020-11-02
0.693
best: 0.311 (SVM)
SOTA
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset arXiv:2011.00958
Person Re-IdentificationoneSports Sensors Dataset
Accuracy· 2020-11-02
10
best: 52.1 (Random Forest)
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset arXiv:2011.00958
Person Re-IdentificationoneSports Sensors Dataset
ROC AUC· 2020-11-02
0.5
best: 0.919 (Random Forest)
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset arXiv:2011.00958
Skills EvaluationoneSports Sensors Dataset
Accuracy· 2020-11-02
50
best: 85.6 (SVM)
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset arXiv:2011.00958
Skills EvaluationoneSports Sensors Dataset
ROC AUC· 2020-11-02
0.5
best: 0.945 (SVM)
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset arXiv:2011.00958