Continual Learning On Tiny Imagenet 10Tasks
评估指标
Average Accuracy
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | Repository | ||
|---|---|---|---|
| ALTA-ViTB/16 | 89.80 | Cross-Modal Alternating Learning with Task-Aware Representations for Continual Learning | - |
| ALTA-RN50x4 | 84.73 | Cross-Modal Alternating Learning with Task-Aware Representations for Continual Learning | - |
| ALTA-RN101 | 83.35 | Cross-Modal Alternating Learning with Task-Aware Representations for Continual Learning | - |
| ALTA-RN50 | 81.07 | Cross-Modal Alternating Learning with Task-Aware Representations for Continual Learning | - |
| SNCL | 52.85 | Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning | - |
| DER [buzzega2020dark] | 51.78 | Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning | - |
| ER[riemer2018learning] | 48.64 | Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning | - |
| iCaRL [rebuffi2017icarl] | 31.55 | Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning | - |
| A-GEM [chaudhry2018efficient] | 25.33 | Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning | - |
0 of 9 row(s) selected.