Object landmark discovery through unsupervised adaptation
(2019)
Presentation / Conference Contribution
Sanchez, E., & Tzimiropoulos, G. (2019, December). Object landmark discovery through unsupervised adaptation. Presented at Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada
This paper proposes a method to ease the unsupervised learning of object landmark detectors. Similarly to previous methods, our approach is fully unsupervised in a sense that it does not require or make any use of annotated landmarks for the target o... Read More about Object landmark discovery through unsupervised adaptation.