Browse SoTA > Computer Vision > Person Re-Identification

Person Re-Identification

195 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 )

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Greatest papers with code

MobileNetV2: Inverted Residuals and Linear Bottlenecks

CVPR 2018 tensorflow/models

In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and benchmarks as well as across a spectrum of different model sizes.

IMAGE CLASSIFICATION OBJECT DETECTION PERSON RE-IDENTIFICATION RETINAL OCT DISEASE CLASSIFICATION SEMANTIC SEGMENTATION

Deep Residual Learning for Image Recognition

CVPR 2016 tensorflow/models

Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.

DOMAIN GENERALIZATION FINE-GRAINED IMAGE CLASSIFICATION IMAGE-TO-IMAGE TRANSLATION OBJECT DETECTION PERSON RE-IDENTIFICATION RETINAL OCT DISEASE CLASSIFICATION SEMANTIC SEGMENTATION

Densely Connected Convolutional Networks

CVPR 2017 pytorch/vision

Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output.

BREAST TUMOUR CLASSIFICATION CROWD COUNTING IMAGE CLASSIFICATION OBJECT RECOGNITION PERSON RE-IDENTIFICATION

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

CVPR 2018 tensorpack/tensorpack

We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e. g., 10-150 MFLOPs).

IMAGE CLASSIFICATION OBJECT DETECTION PERSON RE-IDENTIFICATION

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

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

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.

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.

Ranked #4 on Person Re-Identification on CUHK03 (MAP metric)

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