Improved transferability of self-supervised learning models through batch normalization finetuning
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Benchmark
Model
Rank
Results
classification-on-mhist
MoCo-v2 (ResNet-50)
#1
Accuracy: 88.03
classification-on-mhist
Barlow Twins (ResNet-50)
#3
Accuracy: 84.03
classification-on-mhist
SwAV (ResNet-50)
#4
Accuracy: 83.21
Rank counts only results with a code link.