Best Paper CVPR2018 – Taskonomy – Disentangling Task Transfer Learning

June 20th, 2018 CVPR2018

“Do visual tasks have a relationship, or are they unrelated? For instance, could having surface normals simplify estimating the depth of an image? Intuition answers these questions positively, implying existence of a “structure” among visual tasks. Knowing this structure has notable values; it is the concept underlying transfer learning and provides a principled way for identifying redundancies across tasks, e.g., to seamlessly reuse supervision among related tasks or solve many tasks in one system without piling up the complexity. ”
http://taskonomy.stanford.edu/

Amir R. Zamir, Alexander Sax*, William B. Shen*
Leonidas Guibas, Jitendra Malik, Silvio Savarese
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