A unifying mutual information view of metric learning: Cross-entropy vs. Pairwise losses

/in , , /by
A unifying mutual information view of metric learning: Cross-entropy vs. Pairwise losses

Boudiaf, Malik, Rony, Jérôme, Ziko, Imtiaz Masud, Granger, Eric, Pedersoli, Marco, Piantanida, Pablo and Ben Ayed, Ismail.

In Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020) Coll. « Lecture Notes in Computer Science », vol. 12351.p. 548-564.Springer. 2020

You might also like
LRI: a low rank approach to non-local sparse representation for image interpolation
Regional heart motion abnormality detection via multiview fusion
A hybrid MOEA for the capacitated exam proximity problem
Detecting left ventricular impaired relaxation using MR imaging
A fixed-point method to compute similarities in sparse response data
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer
A PSO-based framework for dynamic SVM model selection
Generative Target Update for Adaptive Siamese Tracking