Image Classification on CUBS
17.17Top-1 ErrorIndividual Networks
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Individual NetworksBackbone=ResNet-502018.01 | 17.17 | — | |
| Individual NetworksBackbone=DenseNet-1212018.01 | 18.08 | — | |
| PiggybackBackbone=VGG-16 BN2018.01 | 18.37 | — | |
| PiggybackBackbone=ResNet-502018.01 | 18.41 | — | |
| PackNetBackbone=DenseNet-121, Task addition order=↓2018.01 | 19.26 | — | |
| PiggybackBackbone=DenseNet-1212018.01 | 19.5 | — | |
| Individual NetworksBackbone=VGG-16 BN2018.01 | 19.57 | — | |
| PackNetBackbone=ResNet-50, Task addition order=↓2018.01 | 19.59 | — | |
| PackNetBackbone=VGG-16 BN, Task addition order=↓2018.01 | 20.21 | — | |
| PiggybackBackbone=VGG-16, # Models=1, Size=621 MB2018.01 | 20.99 | — | |
| Individual NetworksBackbone=VGG-16, # Models=6, Size=3,222 MB2018.01 | 21.3 | — | |
| PackNetBackbone=VGG-16, # Models=1, Size=587 MB, Task addition order=CUBS -> Sketch2018.01 | 22.3 | — | |
| Individual NetworksBackbone=VGG-16, # Models=4, Size=2,173 MB2017.11 | 22.57 | — | |
| PackNetBackbone=VGG-16 BN, Task addition order=↑2018.01 | 23.82 | — | |
| PackNetBackbone=VGG-16, Pruning Ratios=0.75, 0.75, 0.75, # Models=1, Size=595 MB2017.11 | 24.95 | — | |
| PackNetBackbone=VGG-16, Pruning Ratios=0.50, 0.75, 0.75, # Models=1, Size=595 MB2017.11 | 25.72 | — | |
| Classifier OnlyBackbone=DenseNet-1212018.01 | 26.55 | — | |
| PackNetBackbone=ResNet-50, Task addition order=↑2018.01 | 28.62 | — | |
| PackNetBackbone=VGG-16, # Models=1, Size=587 MB, Task addition order=Sketch -> CUBS2018.01 | 29.69 | — | |
| Classifier OnlyBackbone=ResNet-502018.01 | 29.97 | — | |
| PackNetBackbone=DenseNet-121, Task addition order=↑2018.01 | 30.36 | — | |
| LwFBackbone=VGG-16, # Models=1, Size=562 MB2017.11 | 30.42 | — | |
| Classifier OnlyBackbone=VGG-16 BN2018.01 | 33.88 | — | |
| Classifier OnlyBackbone=VGG-16, # Models=1, Size=537 MB2018.01 | 36.49 | — | |
| Classifier OnlyBackbone=VGG-16, # Models=1, Size=562 MB2017.11 | 36.76 | — |