Arxiv Papers

DreamTeacher: Pretraining Image Backbones with Deep Generative Models


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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


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Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

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Arxiv PapersBy Igor Melnyk

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