Image Classification on Srinivasan 2014 (test)
100AccuracyOpticNet-71
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| OpticNet-71Architecture=OpticNet-71, Weights=Randomly initialized (from scratch)2019.10 | 100 | 100 | 100 | |
| XceptionArchitecture=Xception, Weights=Pre-trained ImageNet2019.10 | 99.36 | 99.36 | 99.68 | |
| MobileNet-v2Architecture=MobileNet-v2, Weights=Pre-trained ImageNet2019.10 | 97.46 | 97.46 | 98.73 | |
| Karri et al.Architecture=GoogleNet, Weights=ImageNet transfer learning2019.10 | 96 | — | — | |
| ResNet50-v1Architecture=ResNet50-v1, Weights=Pre-trained ImageNet2019.10 | 94.92 | 94.92 | 97.46 | |
| Awais et al.Architecture=VGG with KNN in final layer, Weights=ImageNet transfer learning2019.10 | 93 | 87 | 100 | |
| Lee et al.Architecture=Modified VGG-16, Weights=ImageNet transfer learning2019.10 | 87.63 | 84.63 | 91.54 |