Web: http://arxiv.org/abs/2201.11307

Jan. 28, 2022, 2:11 a.m. | Hong Xuan, Robert Pless

cs.LG updates on arXiv.org arxiv.org

Pair-wise loss is an approach to metric learning that learns a semantic
embedding by optimizing a loss function that encourages images from the same
semantic class to be mapped closer than images from different classes. The
literature reports a large and growing set of variations of the pair-wise loss
strategies. Here we decompose the gradient of these loss functions into
components that relate to how they push the relative feature positions of the
anchor-positive and anchor-negative pairs. This decomposition allows …

arxiv cv gradient impact

More from arxiv.org / cs.LG updates on arXiv.org

Data Analytics and Technical support Lead

@ Coupa Software, Inc. | Bogota, Colombia

Data Science Manager

@ Vectra | San Jose, CA

Data Analyst Sr

@ Capco | Brazil - Sao Paulo

Data Scientist (NLP)

@ Builder.ai | London, England, United Kingdom - Remote

Senior Data Analyst

@ BuildZoom | Scottsdale, AZ/ San Francisco, CA/ Remote

Senior Research Scientist, Speech Recognition

@ SoundHound Inc. | Toronto, Canada