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.
State-of-the-art leaderboards
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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).
DATA AUGMENTATION IMAGE CLASSIFICATION OBJECT DETECTION PERSON RE-IDENTIFICATION
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.
#3 best model for
Person Re-Identification
on CUHK03
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.
#17 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.
#11 best model for
Person Re-Identification
on DukeMTMC-reID
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
Omni-Scale Feature Learning for Person Re-Identification
• 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 CUHK03
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.
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
• michuanhaohao/reid-strong-baseline
•
In the literature, some effective training tricks are briefly appeared in several papers or source codes.
#2 best model for
Person Re-Identification
on Market-1501
In Defense of the Triplet Loss for Person Re-Identification
• VisualComputingInstitute/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.
#20 best model for
Person Re-Identification
on Market-1501
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.
#27 best model for
Person Re-Identification
on DukeMTMC-reID