Data-driven Visual Similarity for Cross-domain Image Matching
http://graphics.cs.cmu.edu/projects/crossDomainMatching/ Data-driven Visual Similarity for Cross-domain Image Matching Presented at SIGGRAPH Asia, 2011 People Abhinav Shrivastava Tomasz Malisiewicz Abhinav Gupta Alexei A. Efros A data-driven technique to find visual similarity which does not depend on any particular image domain or feature representation. Visit the webpage to see some cool results
A Matlab Toolkit for Distance Metric Learning
Liu Yang, Prof. Rong Jin Welcome! This is a Matlab toolkit for distance metric learning, including the implementation of a number of published machine learning algorithms in this area. The first version of this toolkit has been available since Oct. 28, 2007. This toolkit is to provide a collection of baseline methods for distance metric learning research, and to faciliate the usage of these approa
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Proxy Anchor Loss for Deep Metric Learning
Instance Cross Entropy for Deep Metric Learning
GitHub - CompVis/metric-learning-divide-and-conquer: Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
Divide and Conquer the Embedding Space for Metric Learning
GitHub - rksltnl/Deep-Metric-Learning-CVPR16: Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
Learning Local Image Descriptors Data
