Masked Siamese Networks for Label-Efficient Learning
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Benchmark
Model
Rank
Results
self-supervised-image-classification-on-imagenet
MSN (ViT-L/7)
#20
Top 1 Accuracy: 80.7%
Number of Params: 306M
semi-supervised-image-classification-on-imagenet-1-labeled-data
MSN (ViT-B/4)
#9
Top 1 Accuracy: 75.7%
Rank counts only results with a code link.