Person Re-Identification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

41 leaderboard tables shown for this task, 41 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 41 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

65 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 65 until expanded.

Subtasks archive 2025-07-28

13 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 585 papers with code (1,488 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep Residual Learning for Image Recognition
  10 Dec 2015 484 repositories listed Syntology ran 230 of 377 samples · 147 unverified · 187 pointer-only (licence)
  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.
• MobileNetV2: Inverted Residuals and Linear Bottlenecks
  13 Jan 2018 159 repositories listed Syntology ran 85 of 111 samples · 26 unverified · 64 pointer-only (licence)
  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.
• Densely Connected Convolutional Networks
  25 Aug 2016 146 repositories listed Syntology ran 18 of 71 samples · 53 unverified · 7 pointer-only (licence)
  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.
• A Simple Framework for Contrastive Learning of Visual Representations
  13 Feb 2020 96 repositories listed Syntology ran 79 of 137 samples · 58 unverified · 52 pointer-only (licence)
  This paper presents SimCLR: a simple framework for contrastive learning of visual representations.
• Simple Online and Realtime Tracking with a Deep Association Metric
  21 Mar 2017 75 repositories listed Syntology ran 12 of 40 samples · 28 unverified · 7 pointer-only (licence)
  Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms.
• PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
  7 Jun 2017 68 repositories listed Syntology ran 36 of 67 samples · 31 unverified · 26 pointer-only (licence)
  By exploiting metric space distances, our network is able to learn local features with increasing contextual scales.
• ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
  4 Jul 2017 38 repositories listed
  We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e.
• Domain-Adversarial Training of Neural Networks
  28 May 2015 37 repositories listed Syntology ran 33 of 52 samples · 19 unverified · 22 pointer-only (licence)
  Our approach is directly inspired by the theory on domain adaptation suggesting that, for effective domain transfer to be achieved, predictions must be made based on features that cannot discriminate between the…
• Improved Baselines with Momentum Contrastive Learning
  9 Mar 2020 36 repositories listed Syntology ran 8 of 43 samples · 35 unverified · 10 pointer-only (licence)
  Contrastive unsupervised learning has recently shown encouraging progress, e.
• Bootstrap your own latent: A new approach to self-supervised Learning
  13 Jun 2020 31 repositories listed Syntology ran 62 of 79 samples · 17 unverified · 46 pointer-only (licence)
  From an augmented view of an image, we train the online network to predict the target network representation of the same image under a different augmented view.
• In Defense of the Triplet Loss for Person Re-Identification
  22 Mar 2017 31 repositories listed Syntology ran 6 of 46 samples · 40 unverified
  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.
• Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
  23 Nov 2017 30 repositories listed
  Although the performance of person Re-Identification (ReID) has been significantly boosted, many challenging issues in real scenarios have not been fully investigated, e.
• Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
  26 Nov 2017 29 repositories listed
  RPP re-assigns these outliers to the parts they are closest to, resulting in refined parts with enhanced within-part consistency.
• Random Erasing Data Augmentation
  16 Aug 2017 18 repositories listed
  In this paper, we introduce Random Erasing, a new data augmentation method for training the convolutional neural network (CNN).
• Omni-Scale Feature Learning for Person Re-Identification
  2 May 2019 17 repositories listed Syntology ran 2 of 26 samples · 24 unverified · 3 pointer-only (licence)
  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…
• Circle Loss: A Unified Perspective of Pair Similarity Optimization
  25 Feb 2020 16 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 1 pointer-only (licence)
  This paper provides a pair similarity optimization viewpoint on deep feature learning, aiming to maximize the within-class similarity sₚ and minimize the between-class similarity sₙ.
• Learning Discriminative Features with Multiple Granularities for Person Re-Identification
  4 Apr 2018 16 repositories listed Syntology ran 2 of 30 samples · 28 unverified
  Instead of learning on semantic regions, we uniformly partition the images into several stripes, and vary the number of parts in different local branches to obtain local feature representations with multiple…
• AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
  22 Nov 2017 15 repositories listed
  In this paper, we propose a novel method called AlignedReID that extracts a global feature which is jointly learned with local features.
• Joint Discriminative and Generative Learning for Person Re-identification
  15 Apr 2019 12 repositories listed Syntology ran 3 of 19 samples · 16 unverified
  To this end, we propose a joint learning framework that couples re-id learning and data generation end-to-end.
• Camera Style Adaptation for Person Re-identification
  28 Nov 2017 10 repositories listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)
  In this paper, we explicitly consider this challenge by introducing camera style (CamStyle) adaptation.
• Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch
  22 Oct 2019 9 repositories listed Syntology ran 1 of 24 samples · 23 unverified
  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
  15 Oct 2019 9 repositories listed Syntology ran 6 of 9 samples · 3 unverified · 6 pointer-only (licence)
  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…
• PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
  2 May 2020 8 repositories listed
  In comparison with person re-identification (ReID), which has been widely studied in the research community, vehicle ReID has received less attention.
• Bag of Tricks and A Strong Baseline for Deep Person Re-identification
  17 Mar 2019 8 repositories listed Syntology ran 2 of 8 samples · 6 unverified
  In the literature, some effective training tricks are briefly appeared in several papers or source codes.
• Deep Mutual Learning
  1 Jun 2017 8 repositories listed
  Model distillation is an effective and widely used technique to transfer knowledge from a teacher to a student network.
• Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
  26 Jan 2017 8 repositories listed
  We verify the proposed method on a practical problem: person re-identification (re-ID).
• Deep Learning for Person Re-identification: A Survey and Outlook
  13 Jan 2020 7 repositories listed Syntology ran 8 of 22 samples · 14 unverified · 3 pointer-only (licence)
  The widely studied closed-world setting is usually applied under various research-oriented assumptions, and has achieved inspiring success using deep learning techniques on a number of datasets.
• AlignedReID++: Dynamically matching local information for person re-identification
  1 Oct 2019 6 repositories listed
  Then, we propose a deep model name AlignedReID++ which is jointly learned with global features and local feature based on DMLI.
• Person Re-Identification
  27 Apr 2022 5 repositories listed
  Person Re-Identification (Re-ID) is an important problem in computer vision-based surveillance applications, in which one aims to identify a person across different surveillance photographs taken from different cameras…
• Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
  18 Jul 2020 5 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  In this paper, we propose a novel dynamic dual-attentive aggregation (DDAG) learning method by mining both intra-modality part-level and cross-modality graph-level contextual cues for VI-ReID.

Syntology lines on 20 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.