Image Classification on CIFAR-100 (test) (Accuracy vs FLOPs Budget)
0.7071Top-1 Accuracy (25% FLOPs)LwF
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| LwFBackbone=ResNet-34, lambda=100, rho=0.72026.05 | 0.7071 | 0.7384 | 0.7361 | 0.7355 | |
| EWCBackbone=ResNet-34, lambda=100, rho=0.72026.05 | 0.705 | 0.7407 | 0.739 | 0.7384 | |
| LwFBackbone=MSDNet, lambda=1000, rho=0.22026.05 | 0.665 | 0.7304 | 0.7333 | 0.732 | |
| SeparateBackbone=ResNet-342026.05 | 0.6625 | 0.7257 | 0.7287 | 0.7282 | |
| JointBackbone=MSDNet2026.05 | 0.6593 | 0.7202 | 0.7473 | 0.7586 | |
| EWCBackbone=MSDNet, lambda=1000, rho=0.22026.05 | 0.651 | 0.7103 | 0.7198 | 0.7189 | |
| SeparateBackbone=MSDNet2026.05 | 0.649 | 0.6784 | 0.6902 | 0.6921 | |
| Branch-wiseBackbone=ResNet-342026.05 | 0.6419 | 0.6703 | 0.6688 | 0.6675 | |
| JointBackbone=ResNet-342026.05 | 0.6284 | 0.728 | 0.7432 | 0.7417 | |
| Branch-wiseBackbone=MSDNet2026.05 | 0.5824 | 0.5973 | 0.6016 | 0.5997 | |
| DisjointBackbone=MSDNet2026.05 | 0.5674 | 0.6396 | 0.6859 | 0.7036 | |
| DisjointBackbone=ResNet-342026.05 | 0.5257 | 0.6756 | 0.7349 | 0.7379 |