Facial Expression Recognition on FER2013 HSN Kaggle (test)
2.3ECE (full)ISLaB-FLOW
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| ISLaB-FLOWMethod Variant=FLOW, Model Architecture=2 hidden layers, 200 nodes per layer2025.03 | 2.3 | 2.2 | 0.938 | 0.898 | |
| ISLaB-LRTMethod Variant=LRT, Model Architecture=2 hidden layers, 200 nodes per layer2025.03 | 2.4 | 2.3 | 0.882 | 0.883 | |
| IS-ANN-L1Model Architecture=2 hidden layers, 200 nodes per layer2025.03 | 2.5 | 2.1 | 0.847 | 0.828 | |
| BLR-LRTMethod Variant=LRT, Model Architecture=2 hidden layers, 200 nodes per layer2025.03 | 2.7 | 2.9 | 0.876 | 0.876 | |
| BNN-HORSEModel Architecture=2 hidden layers, 200 nodes per layer2025.03 | 2.8 | 3 | 0.73 | 0.733 | |
| BLR-FLOWMethod Variant=FLOW, Model Architecture=2 hidden layers, 200 nodes per layer2025.03 | 3 | 3.1 | 0.881 | 0.876 | |
| BCNN-ISLaB-LRTMethod Variant=BCNN-LRT, Model Architecture=2 hidden layers, 200 nodes per layer2025.03 | 3.3 | 5.9 | 0.891 | 0.948 | |
| Laplace-SpaMModel Architecture=2 hidden layers, 200 nodes per layer2025.03 | 5.8 | 2.8 | 0.79 | 0.807 | |
| BCNN-ISLaB-FLOWMethod Variant=BCNN-FLOW, Model Architecture=2 hidden layers, 200 nodes per layer2025.03 | 6 | 4.6 | 0.667 | 0.688 | |
| BNN-CONCRETEModel Architecture=2 hidden layers, 200 nodes per layer2025.03 | 21 | — | 1.279 | — |