Semantic-aware auto-encoders for self-supervised representation learning

The resurgence of unsupervised learning can be attributed to the remarkable progress of self-supervised learning, which includes generative $(\mathcal{G})$ and discriminative $(\mathcal{D})$ models. In computer vision, the mainstream self-supervised learning algorithms are $\mathcal{D}$ models. Howe...

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Váldodahkkit: Wang, G, Tang, Y, Lin, L, Torr, PHS
Materiálatiipa: Conference item
Giella:English
Almmustuhtton: IEEE 2022