Image Classification on WikiArt (test)
0.7298AccuracyNETTAILOR
Evaluation results
| Method | Links | |
|---|---|---|
| NETTAILORBackbone=ResNet-50, Input Resolution=224x224, Number of Parameters=15.4M, FLOPs=3.55G2019.06 | 0.7298 | |
| PiggybackBackbone=ResNet-50, Input Resolution=224x224, Number of Parameters=24.3M, FLOPs=4.11G2019.06 | 0.7133 | |
| PackNet (Reversed)Backbone=ResNet-50, Input Resolution=224x224, Order=Sketch, WikiArt, Flowers, Cars, CUB, Number of Parameters=23.9M, FLOPs=4.11G2019.06 | 0.7031 | |
| PackNet (Forward)Backbone=ResNet-50, Input Resolution=224x224, Order=CUB, Cars, Flowers, WikiArt, Sketch, Number of Parameters=23.9M, FLOPs=4.11G2019.06 | 0.694 | |
| Feature ExtractionBackbone=ResNet-50, Input Resolution=224x224, Number of Parameters=23.9M, FLOPs=4.11G2019.06 | 0.556 |