Browse > Computer Vision > Person Re-Identification

Person Re-Identification

107 papers with code · Computer Vision

Person re-identification is the task of associating images of the same person taken from different cameras or from the same camera in different occasions.

( Image credit: PRID2011 dataset )

Leaderboards

Greatest papers with code

Random Erasing Data Augmentation

16 Aug 2017rwightman/pytorch-image-models

In this paper, we introduce Random Erasing, a new data augmentation method for training the convolutional neural network (CNN).

IMAGE AUGMENTATION IMAGE CLASSIFICATION OBJECT DETECTION PERSON RE-IDENTIFICATION

Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch

22 Oct 2019KaiyangZhou/deep-person-reid

Person re-identification (re-ID), which aims to re-identify people across different camera views, has been significantly advanced by deep learning in recent years, particularly with convolutional neural networks (CNNs).

PERSON RE-IDENTIFICATION

Learning Generalisable Omni-Scale Representations for Person Re-Identification

15 Oct 2019KaiyangZhou/deep-person-reid

An effective person re-identification (re-ID) model should learn feature representations that are both discriminative, for distinguishing similar-looking people, and generalisable, for deployment across datasets without any adaptation.

PERSON RE-IDENTIFICATION UNSUPERVISED DOMAIN ADAPTATION

Omni-Scale Feature Learning for Person Re-Identification

ICCV 2019 KaiyangZhou/deep-person-reid

As an instance-level recognition problem, person re-identification (ReID) relies on discriminative features, which not only capture different spatial scales but also encapsulate an arbitrary combination of multiple scales.

PERSON RE-IDENTIFICATION

Deep Transfer Learning for Person Re-identification

16 Nov 2016KaiyangZhou/deep-person-reid

Second, a two-stepped fine-tuning strategy is developed to transfer knowledge from auxiliary datasets.

IMAGE CLASSIFICATION PERSON RE-IDENTIFICATION TRANSFER LEARNING

Camera Style Adaptation for Person Re-identification

CVPR 2018 layumi/Person_reID_baseline_pytorch

With LSR, we demonstrate consistent improvement in all systems regardless of the extent of over-fitting.

DATA AUGMENTATION PERSON RE-IDENTIFICATION

Simple Online and Realtime Tracking with a Deep Association Metric

21 Mar 2017nwojke/deep_sort

Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms.

LARGE-SCALE PERSON RE-IDENTIFICATION MULTIPLE OBJECT TRACKING

A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification

19 Jun 2019michuanhaohao/reid-strong-baseline

The present study collects and evaluates these effective training tricks in person ReID.

PERSON RE-IDENTIFICATION