This repository holds the PyTorch implementation of MMNet in facial expression recognition (FER) field.
Emotion | Num |
---|---|
0 | 1619 |
1 | 355 |
2 | 877 |
3 | 5957 |
4 | 2460 |
5 | 867 |
6 | 3204 |
Emotion | Num |
---|---|
0 | 3995 |
1 | 436 |
2 | 4097 |
3 | 7215 |
4 | 4830 |
5 | 3171 |
6 | 4965 |
Weighted Sampling | Race | Gender | Age | Emotion | FER(Avg Confusion Matrix) |
---|---|---|---|---|---|
N | 0.8631 | 0.8217 | 0.7428 | 0.8302 | 0.7514 |
N | 0.7663 | 0.5469 | 0.6281 | 0.8351 | 0.7457 |
Y | 0.7663 | 0.7624 | 0.6004 | 0.8090 | 0.7600 |
Y | 0.8638 | 0.8096 | 0.7396 | 0.8380 | 0.7710 |
Weighted Sampling | Color | FA | Emotion Acc | Avg Confusion Matrix |
---|---|---|---|---|
N | RGB | Add | 69.13 | 67.39 |
Y | RGB | Add | 69.18 | 67.24 |
Y | Gray | Add | 69.95 | 68.09 |
Y | Gray | Max | 70.08 | 68.96 |
Aggregation Mode | FER |
---|---|
Elw Add + Random Sampling | 75.71 |
Elw Avg + Weighted Sampling | 76.69 |
Elw Add + Weighted Sampling | 77.10 |
Elw Max + Weighted Sampling | 74.89 |
Elw Min + Weighted Sampling | 75.75 |
None + Weighted Sampling | 75.33 |
Learning Fashion | Race | Gender | Age | FER(Avg Confusion Matrix) |
---|---|---|---|---|
Individual Learning | 86.15 | 82.56 | 73.79 | 73.43 |
Multi-task Learning | 86.38 | 80.96 | 73.96 | 77.10 |
emotion_branch_w | age_branch_w | race_branch_w | gender_branch_w | Emotion_AVG_CM |
---|---|---|---|---|
1 | 1 | 1 | 1 | 0.7585 |
3 | 1 | 1 | 1 | 0.7710 |
4 | 1 | 1 | 1 | 0.7628 |