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Triplet Loss — Advanced Intro
March 24, 2022, 7:40 p.m. | M. Yusuf Sarıgöz
Towards Data Science - Medium towardsdatascience.com
Triplet Loss — Advanced Intro
What are the advantages of Triplet Loss over Contrastive loss, and how to efficiently implement it?
Paths followed by moving points under Triplet Loss. Image by author.Triplet Loss was first introduced in FaceNet: A Unified Embedding for Face Recognition and Clustering in 2015, and it has been one of the most popular loss functions for supervised similarity or metric learning ever since. In its simplest explanation, Triplet Loss encourages that dissimilar pairs be distant …
loss metric-learning pytorch similarity-learning triplet-loss
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