Image Classification on Office-31 (Rectified)
90.8Accuracy (A->D)DAGE-LDA
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| DAGE-LDABackbone=ResNet-50, Pre-trained=ImageNet2020.04 | 90.8 | 90.9 | 70.7 | 98.9 | 70.3 | 99.2 | 86.8 | |
| CCSABackbone=VGG-16, Pre-trained=ImageNet2020.04 | 86.4 | 84.5 | 65.5 | 97.5 | 60.8 | 98.4 | 82.2 | |
| DAGE-LDABackbone=VGG-16, Pre-trained=ImageNet2020.04 | 85.4 | 84.3 | 64.9 | 98 | 65.5 | 98.7 | 82.8 | |
| d-SNEBackbone=VGG-16, Pre-trained=ImageNet2020.04 | 84.7 | 82.3 | 65.1 | 98.2 | 59.9 | 99.7 | 81.6 |