.. [facenet_2015] Schroff, Florian, Dmitry Kalenichenko, and James Philbin. "Facenet: A unified embedding for face recognition and clustering." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
.. [facenet2015] Schroff, Florian, Dmitry Kalenichenko, and James Philbin. "Facenet: A unified embedding for face recognition and clustering." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
@@ -187,7 +187,7 @@ or :py:class:`bob.learn.tensorflow.datashuffler.TripletWithSelectionDisk`.
How the data is sampled ?
`````````````````````````
The paper [facenet_2015]_ introduced a new strategy to select triplets to train triplet networks (this is better described
The paper [facenet2015]_ introduced a new strategy to select triplets to train triplet networks (this is better described
here :py:class:`bob.learn.tensorflow.datashuffler.TripletWithSelectionDisk` and :py:class:`bob.learn.tensorflow.datashuffler.TripletWithFastSelectionDisk`).
This triplet selection relies in the current state of the network and are extensions of `bob.learn.tensorflow.datashuffler.OnlineSampling`.