Unsupervised learning of object landmarks through conditional image generation
We propose a method for learning landmark detectors for visual objects (such as the eyes and the nose in a face) without any manual supervision. We cast this as the problem of generating images that combine the appearance of the object as seen in a first example image with the geometry of the object...
| Main Authors: | , , , |
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| Format: | Conference item |
| Published: |
Curran Associates
2018
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