Domain Generalization on PACS (train)
66.2Acc (Art Painting)MLDG
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MLDGBackbone=AlexNet, Pre-training=ImageNet, Training Split=train split2019.01 | 66.2 | 66.9 | 88 | 59 | 70 | |
| DICABackbone=AlexNet, Pre-training=ImageNet, Training Split=train split2019.01 | 64.6 | 64.5 | 91.8 | 51.1 | 68 | |
| FCBackbone=AlexNet, Pre-training=ImageNet, Training Split=train split2019.01 | 64.4 | 68.6 | 90.1 | 58.4 | 70.4 | |
| MetaRegBackbone=AlexNet, Pre-training=ImageNet, Training Split=train split2019.01 | 63.5 | 69.5 | 87.4 | 59.1 | 69.9 | |
| ReptileBackbone=AlexNet, Pre-training=ImageNet, Training Split=train split2019.01 | 63.4 | 67.5 | 88.7 | 55.9 | 68.9 | |
| AGGBackbone=AlexNet, Pre-training=ImageNet, Training Split=train split2019.01 | 63.3 | 66.3 | 88.6 | 56.5 | 68.7 | |
| DANNBackbone=AlexNet, Pre-training=ImageNet, Training Split=train split2019.01 | 63.2 | 67.5 | 88.1 | 57 | 69 | |
| TF-CNNBackbone=AlexNet, Pre-training=ImageNet, Training Split=train split2019.01 | 62.9 | 67 | 89.5 | 57.5 | 69.2 | |
| CIDDGBackbone=AlexNet, Pre-training=ImageNet, Training Split=train split2019.01 | 62.7 | 69.7 | 78.7 | 64.5 | 68.9 | |
| DSNBackbone=AlexNet, Pre-training=ImageNet, Training Split=train split2019.01 | 61.1 | 66.5 | 83.3 | 58.6 | 67.4 | |
| CrossGradBackbone=AlexNet, Pre-training=ImageNet, Training Split=train split2019.01 | 61 | 67.2 | 87.6 | 55.9 | 67.9 | |
| D-MTAEBackbone=AlexNet, Pre-training=ImageNet, Training Split=train split2019.01 | 60.3 | 58.7 | 91.1 | 47.9 | 64.5 |