self-supervised learning
the recent time more & more talk about self-supervised learning; maybe because each year increase data, how to know
the authors (lilian weng @ openai) cover the main ideas in this area on
• images (distortion, patches, colorization, generative modeling, contrastive predictive coding, momentum contrast)
• videos (tracking, frame sequence, video colorization)
• control problems (multi-view metric learning, autonomous goal generation)
btw, this article is being updated
article: https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.html
#selfsupervised #learning #pretext #unlabel
the recent time more & more talk about self-supervised learning; maybe because each year increase data, how to know
the authors (lilian weng @ openai) cover the main ideas in this area on
• images (distortion, patches, colorization, generative modeling, contrastive predictive coding, momentum contrast)
• videos (tracking, frame sequence, video colorization)
• control problems (multi-view metric learning, autonomous goal generation)
btw, this article is being updated
article: https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.html
#selfsupervised #learning #pretext #unlabel