Image Classification on Mini-Imagenet (20-split)
93.55AccuracyMARK-Resnet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MARK-ResnetMem%=126%2021.06 | 93.55 | -252 | |
| MultitaskMem%=99%2021.06 | 74.44 | 0 | |
| MARK-TaskMem%=100%2021.06 | 69.43 | -39 | |
| ACLMem%=195%2021.06 | 62.07 | 0 | |
| GPMMem%=70%2021.06 | 60.41 | 0 | |
| HATMem%=198%2021.06 | 59.45 | -4 | |
| A-GEMMem%=165%2021.06 | 52.43 | -1,523 | |
| MARK-RandomMem%=43%2021.06 | 33.02 | 129 | |
| ODDL-SMemory Size=10K, Backbone=ResNet-182022.10 | 28.68 | — | |
| ODDLMemory Size=10K, Backbone=ResNet-182022.10 | 27.45 | — | |
| ER + GMEDMemory Size=10K, Backbone=ResNet-182022.10 | 27.27 | — | |
| CNDPMMemory Size=10K, Backbone=ResNet-182022.10 | 27.12 | — | |
| MIR+GMEDMemory Size=10K, Backbone=ResNet-182022.10 | 26.5 | — | |
| ERMemory Size=10K, Backbone=ResNet-182022.10 | 25.92 | — | |
| MIRMemory Size=10K, Backbone=ResNet-182022.10 | 25.21 | — |