Continual Learning On Tiny Imagenet 10Tasks
Metrics
Average Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Average Accuracy |
|---|---|
| cross-modal-alternating-learning-with-task | 83.35 |
| cross-modal-alternating-learning-with-task | 89.80 |
| cross-modal-alternating-learning-with-task | 84.73 |
| learning-bayesian-sparse-networks-with-full | 25.33 |
| cross-modal-alternating-learning-with-task | 81.07 |
| learning-bayesian-sparse-networks-with-full | 51.78 |
| learning-bayesian-sparse-networks-with-full | 48.64 |
| learning-bayesian-sparse-networks-with-full | 52.85 |
| learning-bayesian-sparse-networks-with-full | 31.55 |