Facial Expression Recognition on MMI
85.23AccuracyFDRL
Evaluation results
| Method | Links | |
|---|---|---|
| FDRL2021.04 | 85.23 | |
| DDL2021.04 | 83.67 | |
| FMPNSetting=image-based2019.02 | 82.74 | |
| Baseline2021.04 | 79.69 | |
| DLP-CNN2021.04 | 78.46 | |
| STM-ExpletSetting=sequence-based2019.02 | 75.12 | |
| DeRFSetting=image-based2019.02 | 73.23 | |
| DeRL2021.04 | 73.23 | |
| IACNNSetting=image-based2019.02 | 71.55 | |
| IACNN2021.04 | 71.55 | |
| DTAGN(Joint)Setting=sequence-based2019.02 | 70.24 | |
| CNN (baseline)Setting=image-based2019.02 | 68.81 | |
| ConvLSTM1D-based Facial Expression RecognitionFeatures=Geometric2025.12 | 68 | |
| IPA2LT2021.04 | 65.61 | |
| CNN (no lg)Setting=image-based2019.02 | 63.1 | |
| HOG 3DSetting=sequence-based2019.02 | 60.89 | |
| LBP-TOPSetting=sequence-based2019.02 | 59.51 | |
| Jung et al. (DTGN)Features=Geometric2025.12 | 59.02 |