
Sign up to save your podcasts
Or


DreamTeacher is a self-supervised feature representation learning framework that uses generative networks to pre-train image backbones. It outperforms existing approaches and shows promise for representation learning on large datasets without manual annotation.
https://arxiv.org/abs//2307.07487
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
DreamTeacher is a self-supervised feature representation learning framework that uses generative networks to pre-train image backbones. It outperforms existing approaches and shows promise for representation learning on large datasets without manual annotation.
https://arxiv.org/abs//2307.07487
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

958 Listeners

1,977 Listeners

438 Listeners

112,858 Listeners

10,073 Listeners

5,535 Listeners

214 Listeners

51 Listeners

98 Listeners

473 Listeners