Micro-expression Recognition on MEGC Full 2019
0.812UF1FRL-DGT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FRL-DGTYear=2022, Type=Deep-Learning, Evaluation Protocol=LOSO2023.04 | 0.812 | 0.811 | |
| MERSiamC3DYear=2021, Type=Deep-Learning, Evaluation Protocol=LOSO2023.04 | 0.807 | 0.799 | |
| FGRL-AUFYear=2021, Type=Deep-Learning, Evaluation Protocol=LOSO, Extra Datasets=CASME II and SAMM annotated AUs2023.04 | 0.791 | 0.793 | |
| EMRNetYear=2019, Type=Deep-Learning, Evaluation Protocol=LOSO, Extra Datasets=CK+2023.04 | 0.789 | 0.782 | |
| FeatRefYear=2022, Type=Deep-Learning, Evaluation Protocol=LOSO2023.04 | 0.784 | 0.783 | |
| ME-PLANYear=2022, Type=Deep-Learning, Evaluation Protocol=LOSO, Extra Datasets=CK+, Oulu-CASIA and DFEW macro-expression pre-training2023.04 | 0.772 | 0.786 | |
| RCN-AYear=2020, Type=Deep-Learning, Evaluation Protocol=LOSO2023.04 | 0.743 | 0.719 | |
| GEMEYear=2021, Type=Deep-Learning, Evaluation Protocol=LOSO2023.04 | 0.74 | 0.75 | |
| STSTNetYear=2019, Type=Deep-Learning, Evaluation Protocol=LOSO2023.04 | 0.735 | 0.761 | |
| CapsuleNetYear=2019, Type=Deep-Learning, Evaluation Protocol=LOSO2023.04 | 0.652 | 0.651 | |
| Bi-WOOFYear=2018, Type=Hand-Crafted, Evaluation Protocol=LOSO2023.04 | 0.63 | 0.623 | |
| LBP-TOPYear=2014, Type=Hand-Crafted, Evaluation Protocol=LOSO2023.04 | 0.588 | 0.579 |