Unsupervised Domain Adaptation on Birds-31 (CUB-200-2011, iNaturalist2017, NABirds)
72.77Accuracy (C -> I)ILA-DA (with CDAN)
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| ILA-DA (with CDAN)Backbone=ResNet-50, Pre-trained=ImageNet, k=3, mu=0.332021.04 | 72.77 | 93.83 | 90.36 | 78.09 | 86.58 | 94.53 | 86.03 | |
| PANBackbone=ResNet-50, Pre-trained=ImageNet2021.04 | 69.79 | 90.46 | 88.1 | 75.03 | 84.19 | 92.51 | 83.34 | |
| ILA-DA (with DANN)Backbone=ResNet-50, Pre-trained=ImageNet, k=3, mu=0.332021.04 | 69.55 | 93.13 | 87.15 | 74.69 | 83.4 | 93.89 | 83.63 | |
| CDANBackbone=ResNet-50, Pre-trained=ImageNet2021.04 | 68.67 | 89.74 | 86.17 | 73.8 | 83.18 | 91.56 | 82.18 | |
| MCDBackbone=ResNet-50, Pre-trained=ImageNet2021.04 | 66.43 | 88.02 | 85.57 | 73.06 | 82.37 | 90.99 | 81.07 | |
| SAFNBackbone=ResNet-50, Pre-trained=ImageNet2021.04 | 65.23 | 90.18 | 84.71 | 73 | 81.65 | 91.47 | 81.08 | |
| DANNBackbone=ResNet-50, Pre-trained=ImageNet2021.04 | 64.59 | 85.64 | 80.53 | 71 | 79.37 | 89.53 | 78.44 | |
| ResNet-50Backbone=ResNet-50, Pre-trained=ImageNet2021.04 | 64.25 | 87.19 | 82.46 | 71.08 | 79.92 | 89.96 | 79.14 | |
| DANBackbone=ResNet-50, Pre-trained=ImageNet2021.04 | 63.9 | 85.86 | 82.91 | 70.67 | 80.64 | 89.4 | 78.9 | |
| JANBackbone=ResNet-50, Pre-trained=ImageNet2021.04 | 63.69 | 86.29 | 83.34 | 71.09 | 81.06 | 89.55 | 79.17 | |
| ADDABackbone=ResNet-50, Pre-trained=ImageNet2021.04 | 63.03 | 87.26 | 84.36 | 72.39 | 79.69 | 89.28 | 79.33 | |
| MADABackbone=ResNet-50, Pre-trained=ImageNet2021.04 | 62.03 | 89.99 | 87.05 | 70.99 | 81.36 | 92.09 | 80.5 |