Person Re-Identification

Person Re-Identification is a computer vision task in which the goal is to match a person's identity across different cameras or locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing to match their identity in different frames. The goal is to associate the same person across multiple non-overlapping camera views in a robust and efficient manner.

Papers

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Showing 501–525 of 1488 papers

Title	Date	Tasks	Status	Score
Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification	Apr 30, 2018	FoveationPerson Re-Identification	CodeCode Available	5
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training	Oct 29, 2018	Person Re-Identification	CodeCode Available	5
Deep Attention Aware Feature Learning for Person Re-Identification	Mar 1, 2020	Deep AttentionPerson Re-Identification	CodeCode Available	5
Deep Association Learning for Unsupervised Video Person Re-identification	Aug 22, 2018	Person Re-IdentificationUnsupervised Person Re-Identification	CodeCode Available	5
Fast and Accurate Person Re-Identification with RMNet	Dec 6, 2018	Person Re-Identification	CodeCode Available	5
Benchmarking person re-identification datasets and approaches for practical real-world implementations	Dec 20, 2022	BenchmarkingPedestrian Detection	CodeCode Available	5
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation	May 16, 2020	Domain AdaptationKnowledge Distillation	CodeCode Available	5
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification	May 12, 2022	Domain AdaptationKnowledge Distillation	CodeCode Available	5
Learning Disentangled Representation for Robust Person Re-identification	Oct 26, 2019	AttributeGenerative Adversarial Network	CodeCode Available	5
Joint Detection and Identification Feature Learning for Person Search	Apr 7, 2016	Pedestrian DetectionPerson Re-Identification	CodeCode Available	5
Batch DropBlock Network for Person Re-identification and Beyond	Nov 17, 2018	Image RetrievalMetric Learning	CodeCode Available	5
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification	Nov 20, 2022	AllBackdoor Attack	CodeCode Available	5
Additive Adversarial Learning for Unbiased Authentication	May 16, 2019	DisentanglementFace Recognition	CodeCode Available	5
DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification	Dec 12, 2024	Exemplar-FreeKnowledge Distillation	CodeCode Available	5
Interaction-and-Aggregation Network for Person Re-identification	Jul 19, 2019	Person Re-Identification	CodeCode Available	5
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification	Apr 3, 2019	Domain AdaptationDomain Adaptive Person Re-Identification	CodeCode Available	5
In Defense of the Classification Loss for Person Re-Identification	Sep 16, 2018	ClassificationGeneral Classification	CodeCode Available	5
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification	Jan 18, 2019	Person Re-IdentificationPose Estimation	CodeCode Available	5
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation	Dec 17, 2019	Person Re-IdentificationTriplet	CodeCode Available	5
Person Re-identification: Implicitly Defining the Receptive Fields of Deep Learning Classification Frameworks	Jan 30, 2020	Data AugmentationGeneral Classification	CodeCode Available	5
Incremental Learning in Person Re-Identification	Aug 20, 2018	Incremental LearningPerson Re-Identification	CodeCode Available	5
In Defense of the Triplet Loss for Person Re-Identification	Mar 22, 2017	General ClassificationMetric Learning	CodeCode Available	5
Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice	May 9, 2019	Person Re-Identification	CodeCode Available	5
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention	Jun 4, 2021	ClassificationFine-Grained Image Classification	CodeCode Available	5
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification	Sep 25, 2019	Metric LearningPerson Re-Identification	CodeCode Available	5

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All datasets Market-1501 DukeMTMC-reID MSMT17 Occluded-DukeMTMC Market-1501-C CUHK03 detected CUHK03 labeled MARS CUHK03 LTCC PRCC PRID2011

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	st-ReID(RE, RK)	Rank-1	98	—	Unverified
2	SSKD(GH)	Rank-1	97.36	—	Unverified
3	CLIP-ReID+Pose2ID (no RK)	Rank-1	97.3	—	Unverified
4	SOLIDER +UFFM+AMC	Rank-1	97	—	Unverified
5	Unsupervised Pre-training (ResNet101+MGN)	Rank-1	97	—	Unverified
6	RGT&RGPR (RK)	Rank-1	96.9	—	Unverified
7	SOLIDER	Rank-1	96.9	—	Unverified
8	LightMBN (RR)	Rank-1	96.8	—	Unverified
9	Viewpoint-Aware Loss(RK)	Rank-1	96.79	—	Unverified
10	TransReID-SSL (ViT-B w/o RK)	Rank-1	96.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DenseIL	mAP	97.1	—	Unverified
2	CTL Model (ResNet50, 256x128)	mAP	96.1	—	Unverified
3	BPBreID (RK)	mAP	92.9	—	Unverified
4	Unsupervised Pre-training (ResNet101+RK)	mAP	92.77	—	Unverified
5	RGT&RGPR (RK)	mAP	92.7	—	Unverified
6	st-ReID(RE, RK,Cam)	mAP	92.7	—	Unverified
7	Viewpoint-Aware Loss(RK)	mAP	91.8	—	Unverified
8	LDS (ResNet50 + RK)	mAP	91	—	Unverified
9	Adaptive L2 Regularization (with re-ranking)	mAP	90.7	—	Unverified
10	FlipReID (with re-ranking)	mAP	90.7	—	Unverified