Top 12 deep-metric-learning open source projects

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020

simple example face recognition with deep metric learning to dlib

Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)

CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission

Generalized Deep Metric Learning.

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.

Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)

(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)