Image Classification On Intel Image
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Accuracy | Paper Title | Repository |
|---|---|---|---|
| ResNet-18 | 90.93 | Vision Eagle Attention: a new lens for advancing image classification | |
| ResNet-18 + Vision Eagle Attention | 92.43 | Vision Eagle Attention: a new lens for advancing image classification |
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