Person Re-Identification
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 )
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Subtasks
Greatest papers with code
Random Erasing Data Augmentation
• rwightman/pytorch-image-models
• 
In this paper, we introduce Random Erasing, a new data augmentation method for training the convolutional neural network (CNN).
#2 best model for
Image Classification
on Fashion-MNIST
IMAGE AUGMENTATION IMAGE CLASSIFICATION OBJECT DETECTION PERSON RE-IDENTIFICATION
Simple Online and Realtime Tracking with a Deep Association Metric
• nwojke/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
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch
• KaiyangZhou/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).
Learning Generalisable Omni-Scale Representations for Person Re-Identification
• KaiyangZhou/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.
UNSUPERVISED DOMAIN ADAPTATION UNSUPERVISED PERSON RE-IDENTIFICATION
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.
#2 best model for
Person Re-Identification
on MSMT17
Deep Transfer Learning for Person Re-identification
• KaiyangZhou/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
Joint Discriminative and Generative Learning for Person Re-identification
CVPR 2019
• layumi/Person_reID_baseline_pytorch
•
To this end, we propose a joint learning framework that couples re-id learning and data generation end-to-end.
#4 best model for
Person Re-Identification
on MSMT17
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.
#29 best model for
Person Re-Identification
on DukeMTMC-reID
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
ECCV 2018
• layumi/Person_reID_baseline_pytorch
•
RPP re-assigns these outliers to the parts they are closest to, resulting in refined parts with enhanced within-part consistency.
#23 best model for
Person Re-Identification
on DukeMTMC-reID
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
• michuanhaohao/reid-strong-baseline
•
The present study collects and evaluates these effective training tricks in person ReID.
#15 best model for
Person Re-Identification
on DukeMTMC-reID