| continual-learning-on-stanford-cars-fine-grained-6-tasks | CPG | #1 | Accuracy: 92.80 |
| continual-learning-on-flowers-fine-grained-6-tasks | CPG | #2 | Accuracy: 96.62 |
| continual-learning-on-sketch-fine-grained-6-tasks | CPG | #2 | Accuracy: 80.33 |
| continual-learning-on-wikiart-fine-grained-6-tasks | CPG | #2 | Accuracy: 77.15 |
| continual-learning-on-cubs-fine-grained-6-tasks | CPG | #3 | Accuracy: 83.59 |
| age-and-gender-classification-on-adience-gender | CPG (single crop, pytorch) | #4 | Accuracy (5-fold): 89.66 |
| continual-learning-on-cifar100-20-tasks | CPG | #4 | Average Accuracy: 80.9 |
| continual-learning-on-imagenet-fine-grained-6-tasks | CPG | #4 | Accuracy: 75.81 |
| age-and-gender-classification-on-adience-age | CPG (single crop, pytorch) | #5 | Accuracy (5-fold): 57.66 |
| facial-expression-recognition-on-affectnet | CPG | #30 | Accuracy (7 emotion): 63.57 |