Browse > Computer Vision > Person Re-Identification

Person Re-Identification

93 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.

State-of-the-art 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).

DATA AUGMENTATION IMAGE CLASSIFICATION OBJECT DETECTION PERSON RE-IDENTIFICATION

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

Omni-Scale Feature Learning for Person Re-Identification

2 May 2019KaiyangZhou/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

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

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

17 Mar 2019michuanhaohao/reid-strong-baseline

In the literature, some effective training tricks are briefly appeared in several papers or source codes.

PERSON RE-IDENTIFICATION

In Defense of the Triplet Loss for Person Re-Identification

22 Mar 2017VisualComputingInstitute/triplet-reid

In the past few years, the field of computer vision has gone through a revolution fueled mainly by the advent of large datasets and the adoption of deep convolutional neural networks for end-to-end learning.

METRIC LEARNING PERSON RE-IDENTIFICATION

Joint Detection and Identification Feature Learning for Person Search

CVPR 2017 ShuangLI59/person_search

Existing person re-identification benchmarks and methods mainly focus on matching cropped pedestrian images between queries and candidates.

PEDESTRIAN DETECTION PERSON RE-IDENTIFICATION PERSON SEARCH