metric-learning topic
lfda
Local Fisher Discriminant Analysis in R
dml
R package for Distance Metric Learning
open-ucn
The first fully convolutional metric learning for geometric/semantic image correspondences.
FastAP-metric-learning
Code for CVPR 2019 paper "Deep Metric Learning to Rank"
TCE
This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
triplet-loss-pytorch
Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
ROADMAP
This repository contains the official implementation of the NeurIPS'21 paper, ROADMAP: Robust and Decomposable Average Precision for Image Retrieval.
MVGCN
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
SPML
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Npair_loss_pytorch
Improved Deep Metric Learning with Multi-class N-pair Loss Objective