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dddm

data-driven distance metric (DDDM) for Person Re-identification

deep-person

Code for Deep-Person: Learning Discriminative Deep Features for Person Re-Identification

dml

equidml

EquiDML for person re-id

evaluation-code

featmask

k-kissme

Kernel Distance Metric Learning using Pairwise Constraints for Person Re-Identification

kepler

Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning - Transactions on Image Processing (2015)

kernel-metric-learning-reid

Implementation for paper "Person re-identification using kernel-based metric learning methods"

kpm_rw_person_reid

lmnnr

Source code for the work in paper: Mert Dikmen, Emre Akbas, Thomas S. Huang, Narendra Ahuja, "Pedestrian recognition with a learned metric", Asian Conference in Computer Vision, (ACCV), 2010.

mars-evaluation

This repository provides the evaluation codes for the MARS dataset

mdf-kiss

Matlab Code for MDF-KISS

metric-learning

common metric learning

metric-learning-reid

mlearn2rerank

metric learning to reranking

person-re-ranking

Person Re-ranking (CVPR 2017)

person-reid-benchmark

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

rap

A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios

re-ranking

reid_aer_onviper

Reid_AER

research-code

retinex

Matlab实现的论文里面算法的Retinex颜色恒常性

sdalf

Person re-identification with SDALF - CVPR 2010

stfv3d

subspace-learning-for-person-re-identification

Working on developing novel algorithms for Person Re-identification, which is the task of identifying the same person across camera networks with non-overlapping views, using Subspace Learning (Metric Learning). Primarily working on developing cross-view semantic learning algorithms,jointly learning common basis matrices,the view-specific semantic projection matrices and association functions for person re-id. Trying to generalize the approach for multi-view analysis to seek a set of linear semantic transforms and relationship mapping functions simultaneously. Working on the VIPeR dataset preliminarily.

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