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self-supervised learning
barlow-twins
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mix-bt / checkpoints /CHECKPOINTS.md
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Rename checkpoints/test.py to checkpoints/CHECKPOINTS.md
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Initial release of pre-trained models of Mixed Barlow Twins.

ResNet-18

Dataset d Lambda_BT Lambda_Reg Path to Pretrained Model KNN Acc. Linear Acc.
CIFAR-10 1024 0.0078125 4.0 4wdhbpcf_0.0078125_1024_256_cifar10_model.pth 90.52 92.58
CIFAR-100 1024 0.0078125 4.0 76kk7scz_0.0078125_1024_256_cifar100_model.pth 61.25 69.31
TinyImageNet 1024 0.0009765 4.0 02azq6fs_0.0009765_1024_256_tiny_imagenet_model.pth 38.11 51.67
STL-10 1024 0.0078125 2.0 i7det4xq_0.0078125_1024_256_stl10_model.pth 88.94 91.02

ResNet-50

Dataset d Lambda_BT Lambda_Reg Path to Pretrained Model KNN Acc. Linear Acc.
CIFAR-10 1024 0.0078125 4.0 v3gwgusq_0.0078125_1024_256_cifar10_model.pth 91.39 93.89
CIFAR-100 1024 0.0078125 4.0 z6ngefw7_0.0078125_1024_256_cifar100_model.pth 64.32 72.51
TinyImageNet 1024 0.0009765 4.0 kxlkigsv_0.0009765_1024_256_tiny_imagenet_model.pth 42.21 51.84
STL-10 1024 0.0078125 2.0 pbknx38b_0.0078125_1024_256_stl10_model.pth 87.79 91.70

On ImageNet

# Epochs $d$ $\lambda_{BT}$ $\lambda_{reg}$ Download Link to Pretrained Model Linear Acc.
300 8192 0.0051 0.0 (i.e., BT) 3on0l4wl_0.0000_8192_1024_imagenet_resnet50.pth 71.3
300 8192 0.0051 0.0025 l418b9zw_0.0025_8192_1024_imagenet_resnet50.pth 70.9
300 8192 0.0051 0.1 13awtq23_0.1000_8192_1024_imagenet_resnet50 71.6
300 8192 0.0051 1.0 3fb1op86_1.0000_8192_1024_imagenet_resnet50.pth 72.2
300 8192 0.0051 3.0 xx.x
300 8192 0.0051 5.0 xx.x

Download the pre-trained models and store them in the checkpoints/ folder.