Unsupervised Image Matching and Object Discovery as Optimization

CVPR, pp. 8287-8296, 2019.

Cited by: 15|Bibtex|Views179
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Learning with complete or partial supervision is powerful but relies on ever-growing human annotation efforts. As a way to mitigate this serious problem, as well as to serve specific applications, unsupervised learning has emerged as an important field of research. In computer vision, unsupervised learning comes in various guises. We focu...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments