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pro vyhledávání: '"Cayon, Rodrigo Ortiz"'
Autor:
Rai, Nishant, Liaudanskas, Aidas, Rao, Srinivas, Cayon, Rodrigo Ortiz, Munaro, Matteo, Holzer, Stefan
We propose a weakly-supervised multi-view learning approach to learn category-specific surface mapping without dense annotations. We learn the underlying surface geometry of common categories, such as human faces, cars, and airplanes, given instances
Externí odkaz:
http://arxiv.org/abs/2105.01388
Publikováno v:
2015 International Conference on 3D Vision; 2015, p469-477, 9p
