The code will be sorted and published soon.
FCTL is developed based on torch==1.13.0
torchvision==0.14.0
pytorch-lightning==2.2.1
We provide the detail about the benchmark datasets in data/.
Dataset | Backbone | AUROC | Log | Weight (Backup) |
---|---|---|---|---|
MNIST | ResNet101 | 0.999 | 🤗split1 split2 split3 split4 split5 | |
SVHN | ResNet101 | 0.972 | ||
CIFAR10 | ResNet101 | 0.948 | ||
CIFAR+10 | ResNet101 | 0.990 | ||
CIFAR+50 | ResNet101 | 0.979 | ||
TinyImageNet | ResNet101 | 0.951 | ||
CUB | ResNet101 | 0.812 | split1_log | |
Aircraft | ResNet101 | 0.853 | split1_log | 🤗split1 |
MNIST | ViT/B16 | 0.983 | split1_log | |
SVHN | ViT/B16 | 0.974 | ||
CIFAR10 | ViT/B16 | 0.987 | 🤗split1 split2 split3 split4 split5 | |
CIFAR+10 | ViT/B16 | 0.995 | 🤗split1 split2 split3 split4 split5 | |
CIFAR+50 | ViT/B16 | 0.991 | 🤗split1 split2 split3 split4 split5 | |
TinyImageNet | ViT/B16 | 0.978 | 🤗split1 split2 split3 split4 split5 | |
CUB | ViT/B16 | 0.895 | 🤗split1 | |
Aircraft | ViT/B16 | 0.817 | split1_log | |
CIFAR10-ood | ResNet101 | 🤗split1 |
https://drive.google.com/file/d/12apkcoi-YQRP5IK9MVBQ_r-zFw6byLyE/view?usp=drive_link
chmod +x _scripts/*/test*.sh
The code will be sorted and published soon.