Taskonomy: Disentangling Task Transfer Learning

image source: Taskonomy [1]

The common computer vision tasks such as  depth estimation, edge detection are usually performed in isolation.

While scanning through this year’s CVPR papers, I noticed this interesting research [1] (CVPR Best Paper award winner!) that introduced a term called “Taskonomy” (Task + Taxonomy).

Taskonomy focuses on deriving the relationships between these common computer vision tasks so that it can find some representations obtained by certain computer vision tasks that can be useful (in terms of efficient computation time and/ or requirement for less labeled data) in other computer vision tasks.

This is also known as ‘task transferability’.  Some interesting visualizations and more information on this research can be found here.

[1] http://taskonomy.stanford.edu/