: It achieves State-of-the-Art (SoTA) results on object-focused datasets even when trained solely on the target domain using millions of unlabeled images.
You can access the full paper through the following sources: OpenAccess (TheCVF) arXiv Preprint IEEE Xplore DreamTeacher-Ep1Pt1.2-pc_[juegosXXXgratis.com].zip
The primary scientific paper related to is titled "DreamTeacher: Pretraining Image Backbones with Deep Generative Models" , published at ICCV 2023 . ADE20K (semantic segmentation)
: DreamTeacher significantly outperforms existing self-supervised learning approaches on benchmarks like ImageNet , ADE20K (semantic segmentation), and MSCOCO (instance segmentation). and MSCOCO (instance segmentation).