Image Classification on Tiny ImageNet (CA, ASR)
58.3AccuracyLRAM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LRAMRank=200, Backbone=ResNet182026.01 | 58.3 | 0.7 | |
| Control ModelRank=200, Backbone=ResNet182026.01 | 57.2 | 99.3 | |
| LRAMRank=190, Backbone=ResNet182026.01 | 57.2 | 99.4 | |
| Control ModelRank=190, Backbone=ResNet182026.01 | 57 | 99.3 | |
| LRAMRank=200, Backbone=MobileNetV22026.01 | 42.3 | 0.6 | |
| LRAMRank=200, Backbone=VGG162026.01 | 41.5 | 0.5 | |
| LRAMRank=190, Backbone=MobileNetV22026.01 | 41.3 | 98.6 | |
| Control ModelRank=200, Backbone=VGG162026.01 | 41 | 99 | |
| Control ModelRank=190, Backbone=VGG162026.01 | 41 | 99 | |
| LRAMRank=190, Backbone=VGG162026.01 | 41 | 98.8 | |
| Control ModelRank=200, Backbone=MobileNetV22026.01 | 40.8 | 98.9 | |
| Control ModelRank=190, Backbone=MobileNetV22026.01 | 40.8 | 98.9 |