Tweeted By @ak92501
Masked Siamese Networks for Label-Efficient Learning
— AK (@ak92501) April 15, 2022
abs: https://t.co/dYXpFnTm3Y
github: https://t.co/MHm8z6lBWr
on ImageNet-1K, with only 5,000 annotated images, base MSN model achieves 72.4% top-1 accuracy, and with 1% of ImageNet-1K labels, achieves 75.7% top-1
accuracy pic.twitter.com/wXhSeUtNc5