| Spatial-Temporal Person Re-identification | ✓ Link | 98.0 | 95.5 | 98.9 | | st-ReID(RE, RK) | 2018-12-08 |
| Semi-Supervised Domain Generalizable Person Re-Identification | ✓ Link | 97.36 | 94.15 | | | SSKD(GH) | 2021-08-11 |
| From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization | ✓ Link | 97.3 | 94.9 | | | CLIP-ReID+Pose2ID (no RK) | 2025-03-02 |
| Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination | ✓ Link | 97 | 94.9 | | | SOLIDER +UFFM+AMC | 2024-05-02 |
| Unsupervised Pre-training for Person Re-identification | ✓ Link | 97 | 92 | | | Unsupervised Pre-training (ResNet101+MGN) | 2020-12-07 |
| Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method | ✓ Link | 96.9 | 95.6 | | | RGT&RGPR (RK) | 2021-01-21 |
| Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks | ✓ Link | 96.9 | 93.9 | | | SOLIDER | 2023-03-30 |
| Lightweight Multi-Branch Network for Person Re-Identification | ✓ Link | 96.8 | 95.3 | | | LightMBN (RR) | 2021-01-26 |
| Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification | ✓ Link | 96.79 | 95.43 | 98.31 | | Viewpoint-Aware Loss(RK) | 2019-12-03 |
| Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks | ✓ Link | 96.7 | 95.6 | | | SOLIDER (RK) | 2023-03-30 |
| Self-Supervised Pre-Training for Transformer-Based Person Re-Identification | ✓ Link | 96.7 | 93.2 | | | TransReID-SSL (ViT-B w/o RK) | 2021-11-23 |
| Keypoint Promptable Re-Identification | ✓ Link | 96.62 | 93.22 | | | KPR + SOLIDER (no RK) | 2024-07-25 |
| Large-Scale Pre-training for Person Re-identification with Noisy Labels | ✓ Link | 96.6 | 91.9 | | | Weakly Supervised Pre-training (ResNet50+MGN) | 2022-03-30 |
| Body Part-Based Representation Learning for Occluded Person Re-Identification | ✓ Link | 96.4 | 95.3 | | | BPBreID (RK) | 2022-11-07 |
| Rethinking Person Re-identification from a Projection-on-Prototypes Perspective | | 96.4 | 95.3 | | | ProNet++ (ResNet50+RK) | 2023-08-21 |
| Deep Attention Aware Feature Learning for Person Re-Identification | ✓ Link | 96.4 | 95 | | | DAAF-BoT(RK) | 2020-03-01 |
| Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification | ✓ Link | 96.4 | 90.1 | | | MPN* (without re-ranking) | 2020-03-18 |
| Lightweight Multi-Branch Network for Person Re-Identification | ✓ Link | 96.3 | 91.5 | | | LightMBN (w/o ReRank) | 2021-01-26 |
| CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification | ✓ Link | 96.2 | 94.5 | 98.1 | | CA-Jaccard | 2023-11-17 |
| Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination | ✓ Link | 96.2 | 91.0 | | | BoT+UFFM+AMC | 2024-05-02 |
| Person Re-identification via Attention Pyramid | ✓ Link | 96.2 | 90.5 | | | APNet-C | 2021-08-11 |
| ReMix: Training Generalized Person Re-identification on a Mixture of Data | | 96.2 | 89.8 | | | ReMix | 2024-10-29 |
| Compact Network Training for Person ReID | | 96.2 | 89.7 | | | Compact-ReID (6.4M w/o RK) | 2019-10-15 |
| Compact Network Training for Person ReID | | 96.2 | | | | Compact-ReID | 2019-10-15 |
| Learning to Disentangle Scenes for Person Re-identification | ✓ Link | 96.17 | 94.89 | | | LDS (ResNet50 + RK) | 2021-11-10 |
| Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective | ✓ Link | 96.11 | 94.65 | | | GNN-Reranking | 2020-12-14 |
| Aggregating Deep Pyramidal Representations for Person Re-Idenfitication | ✓ Link | 96.1 | 94.0 | | | PyrNet (multi-shot+ReRank) | 2019-06-20 |
| Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination | ✓ Link | 96.1 | 92.0 | | | CLIP-ReID Baseline +UFFM+AMC | 2024-05-02 |
| Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification | ✓ Link | 96.1 | 91.0 | 98.8 | | PCL-CLIP (L_pcl) | 2023-10-26 |
| FPB: Feature Pyramid Branch for Person Re-Identification | ✓ Link | 96.1 | 90.6 | | | FPB | 2021-08-04 |
| Explainable Person Re-Identification with Attribute-guided Metric Distillation | ✓ Link | 96.1 | 88.8 | | | + Re-weighting | 2021-03-02 |
| Circle Loss: A Unified Perspective of Pair Similarity Optimization | ✓ Link | 96.1 | 87.4 | | | MGN + CircleLoss(ours) | 2020-02-25 |
| Adaptive L2 Regularization in Person Re-Identification | ✓ Link | 96.0 | 94.4 | | | Adaptive L2 Regularization (with re-ranking) | 2020-07-15 |
| Rethinking Person Re-identification from a Projection-on-Prototypes Perspective | | 96 | 90.2 | | | ProNet++ | 2023-08-21 |
| Devil's in the Details: Aligning Visual Clues for Conditional Embedding in Person Re-Identification | ✓ Link | 95.96 | 90.30 | | | CACENET (Resnet50 without RR) | 2020-09-11 |
| Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification | ✓ Link | 95.9 | 91.4 | 98.5 | | PCL-CLIP (L_pcl+L_id) | 2023-10-26 |
| Keypoint Promptable Re-Identification | ✓ Link | 95.9 | 89.6 | | | KPR | 2024-07-25 |
| FlipReID: Closing the Gap between Training and Inference in Person Re-Identification | ✓ Link | 95.8 | 94.7 | | | FlipReID (with re-ranking) | 2021-05-12 |
| DiP: Learning Discriminative Implicit Parts for Person Re-Identification | ✓ Link | 95.8 | 90.8 | | | DiP (without RK) | 2022-12-24 |
| Template-Aware Transformer for Person Reidentification | ✓ Link | 95.8 | 89.7 | | | TAT | 2022-04-01 |
| Compact Network Training for Person ReID | | 95.8 | 88.7 | | | Compact-ReID (2.9M w/o RK) | 2019-10-15 |
| Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification | ✓ Link | 95.7 | 90.40 | | | Deep Miner (w/o ReRank) | 2021-02-18 |
| Cluster-level Feature Alignment for Person Re-identification | ✓ Link | 95.7 | 89.5 | | | Cluster-level Alignment (Resnet50 w/o RK) | 2020-08-15 |
| Body Part-Based Representation Learning for Occluded Person Re-Identification | ✓ Link | 95.7 | 89.4 | | | BPBreID | 2022-11-07 |
| GiT: Graph Interactive Transformer for Vehicle Re-identification | | 95.7 | 88.9 | | | GiT | 2021-07-12 |
| Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training | ✓ Link | 95.7 | 88.2 | | | Pyramid (CVPR'19) | 2018-10-29 |
| Learning Discriminative Features with Multiple Granularities for Person Re-Identification | ✓ Link | 95.7 | 86.9 | | | MGN | 2018-04-04 |
| []() | | 95.64 | 88.75 | - | | EI-Net | |
| Learning Diverse Features with Part-Level Resolution for Person Re-Identification | ✓ Link | 95.6 | 88.9 | | | PLR-OSNet | 2020-01-21 |
| Adaptive L2 Regularization in Person Re-Identification | ✓ Link | 95.6 | 88.9 | | | Adaptive L2 Regularization (without re-ranking) | 2020-07-15 |
| ABD-Net: Attentive but Diverse Person Re-Identification | ✓ Link | 95.6 | 88.28 | | | ABD-Net (ResNet-50) | 2019-08-03 |
| From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization | ✓ Link | 95.52 | 93.01 | | | TransReID+Pose2ID (no RK) | 2025-03-02 |
| Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification | ✓ Link | 95.5 | 94.1 | | | Top-DB-Net + RK | 2020-10-12 |
| FlipReID: Closing the Gap between Training and Inference in Person Re-Identification | ✓ Link | 95.5 | 89.6 | | | FlipReID (without re-ranking) | 2021-05-12 |
| Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification | ✓ Link | 95.5 | 89.5 | | | CAL | 2021-08-19 |
| Bag of Tricks and A Strong Baseline for Deep Person Re-identification | ✓ Link | 95.43 | 94.24 | | | BoT Baseline(RK) | 2019-03-17 |
| 3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective | ✓ Link | 95.43 | 88.54 | | | 3DMagicMirror (HRNet) | 2022-04-27 |
| Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification | ✓ Link | 95.4 | 94.2 | | | Auto-ReID(RK) | 2019-03-23 |
| Deep Constrained Dominant Sets for Person Re-identification | ✓ Link | 95.4 | 93.3 | 98.3 | | Deep Constrained Dominant Sets (RK) | 2019-04-25 |
| Joint Discriminative and Generative Learning for Person Re-identification | ✓ Link | 95.4 | 92.49 | | | DG-Net(RK) | 2019-04-15 |
| CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels | ✓ Link | 95.4 | 90.5 | | | CLIP-ReID (without re-ranking) | 2022-11-25 |
| Dual Cluster Contrastive learning for Object Re-Identification | ✓ Link | 95.4 | 89.2 | 98.5 | | Dual Cluster Contrastive | 2021-12-09 |
| MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID | ✓ Link | 95.3 | 89.6 | | | MSINet (2.3M w/o RK) | 2023-03-13 |
| Identity-Guided Human Semantic Parsing for Person Re-Identification | ✓ Link | 95.3 | 88.6 | | | ISP | 2020-07-27 |
| TransReID: Transformer-based Object Re-Identification | ✓ Link | 95.2 | 89.5 | | | TransReID | 2021-02-08 |
| Graph-based Person Signature for Person Re-Identifications | ✓ Link | 95.2 | 87.8 | 98.4 | | GPS (without re-ranking) | 2021-04-14 |
| Learning Disentangled Representation for Robust Person Re-identification | ✓ Link | 95.2 | 87.1 | | | IS-GAN | 2019-10-26 |
| Aggregating Deep Pyramidal Representations for Person Re-Idenfitication | ✓ Link | 95.2 | 86.7 | | | PyrNet (multi-shot) | 2019-06-20 |
| Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification | ✓ Link | 95.2 | 85.6 | 98.2 | | P2-Net (triplet loss) | 2019-10-22 |
| Deep Attention Aware Feature Learning for Person Re-Identification | ✓ Link | 95.1 | 87.9 | | | DAAF-BoT | 2020-03-01 |
| 3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective | ✓ Link | 95.07 | 87.80 | | | 3DMagicMirror (ResNet-ibn) | 2022-04-27 |
| Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification | ✓ Link | 94.9 | 85.8 | | | Top-DB-Net | 2020-10-12 |
| Joint Discriminative and Generative Learning for Person Re-identification | ✓ Link | 94.8 | 86.0 | | | DG-Net | 2019-04-15 |
| Omni-Scale Feature Learning for Person Re-Identification | ✓ Link | 94.8 | 84.9 | | | OSNet | 2019-05-02 |
| Image-Based and Partially Categorical Annotating Approach for Pedestrian Attribute Recognition | ✓ Link | 94.77 | 92.64 | | | MBNET | 2023-02-28 |
| Parameter-Free Spatial Attention Network for Person Re-Identification | ✓ Link | 94.7 | 91.7 | | | Parameter-Free Spatial Attention (RK) | 2018-11-29 |
| Aggregating Deep Pyramidal Representations for Person Re-Idenfitication | ✓ Link | 94.6 | 91.4 | | | PyrNet (single-shot+ReRank) | 2019-06-20 |
| AlignedReID: Surpassing Human-Level Performance in Person Re-Identification | ✓ Link | 94.4 | 90.7 | | | AlignedReID (RK) | 2017-11-22 |
| Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization | ✓ Link | 94.3 | 83.6 | 97.9 | | CBN+BoT* | 2020-01-23 |
| Circle Loss: A Unified Perspective of Pair Similarity Optimization | ✓ Link | 94.2 | 84.9 | | | ResNet50 + CircleLoss(ours) | 2020-02-25 |
| Horizontal Pyramid Matching for Person Re-identification | ✓ Link | 94.2 | 82.7 | | | HPM | 2018-04-14 |
| Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline) | ✓ Link | 93.8 | 81.6 | | | PCB + RPP | 2017-11-26 |
| Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models | ✓ Link | 93.7 | 90.8 | | | SSP-ReID (RR) | 2018-07-15 |
| Human Semantic Parsing for Person Re-identification | | 93.6 | 83.3 | | | SPreID [kalayeh2018human] | 2018-03-31 |
| Aggregating Deep Pyramidal Representations for Person Re-Idenfitication | ✓ Link | 93.6 | 81.7 | | | PyrNet (single-shot) | 2019-06-20 |
| Camera-aware Proxies for Unsupervised Person Re-Identification | ✓ Link | 93.3 | 85.1 | 97.5 | | CAP | 2020-12-19 |
| Person Re-identification with Bias-controlled Adversarial Training | | 93.1 | 89.3 | | | Bias-controlled Adversarial Training | 2019-03-30 |
| Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models | ✓ Link | 92.5 | 80.1 | | | SSP-ReID | 2018-07-15 |
| Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline) | ✓ Link | 92.3 | 77.4 | | | PCB | 2017-11-26 |
| Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization | ✓ Link | 91.3 | 77.3 | 97.1 | | CBN | 2020-01-23 |
| Resource Aware Person Re-identification across Multiple Resolutions | ✓ Link | 90.9 | 86.7 | | | DaRe(De)+RE+RR [wang2018resource] | 2018-05-22 |
| FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification | ✓ Link | 90.5 | 77.7 | | | FD-GAN | 2018-10-06 |
| A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking | ✓ Link | 90.3 | 84 | | | PSE+ ECN (rank-dist) | 2017-11-28 |
| GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval | | 89.9 | 73.9 | | | GLAD* | 2017-09-13 |
| Camera Style Adaptation for Person Re-identification | ✓ Link | 89.49 | 71.55 | | | IDE* + CamStyle + Random Erasing | 2017-11-28 |
| Features for Multi-Target Multi-Camera Tracking and Re-Identification | | 89.4 | 75.6 | | | ATWL [ristani2018features] | 2018-03-28 |
| Incremental Learning in Person Re-Identification | ✓ Link | 89.3 | 71.8 | | | Incremental Learning | 2018-08-20 |
| Pedestrian Alignment Network for Large-scale Person Re-identification | ✓ Link | 88.57 | 81.53 | | | PAN (GAN)+re-rank | 2017-07-03 |
| Deep Representation Learning with Part Loss for Person Re-Identification | | 88.2 | 69.3 | | | PartLoss | 2017-07-04 |
| Parameter-Efficient Person Re-identification in the 3D Space | ✓ Link | 87.74 | 69.52 | | | OGNet | 2020-06-08 |
| In Defense of the Triplet Loss for Person Re-Identification | ✓ Link | 86.67 | 81.07 | 93.38 | | TriNet (RK) | 2017-03-22 |
| Attribute-Aware Attention Model for Fine-grained Representation Learning | ✓ Link | 86.54 | 68.97 | | | A3M | 2019-01-02 |
| Camera Style Adaptation for Person Re-identification | ✓ Link | 85.66 | 65.87 | | | IDE* | 2017-11-28 |
| Person Re-Identification by Deep Joint Learning of Multi-Loss Classification | | 85.1 | 65.5 | | | DJL | 2017-05-12 |
| In Defense of the Triplet Loss for Person Re-Identification | ✓ Link | 84.92 | 69.14 | 94.21 | | TriNet | 2017-03-22 |
| In Defense of the Triplet Loss for Person Re-Identification | ✓ Link | 84.59 | 75.62 | 91.89 | | LuNet (RK) | 2017-03-22 |
| Pose-driven Deep Convolutional Model for Person Re-identification | | 84.14 | 63.41 | | | PDF | 2017-09-25 |
| Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro | ✓ Link | 83.97 | 66.07 | | | GAN | 2017-01-26 |
| SVDNet for Pedestrian Retrieval | | 82.3 | 62.1 | | | SVDNet | 2017-03-16 |
| Scalable Person Re-identification on Supervised Smoothed Manifold | | 82.21 | 68.80 | | | SSM | 2017-03-24 |
| In Defense of the Triplet Loss for Person Re-Identification | ✓ Link | 81.38 | 60.71 | 92.34 | | LuNet | 2017-03-22 |
| Deeply-Learned Part-Aligned Representations for Person Re-Identification | ✓ Link | 81.0 | 63.4 | | | DF | 2017-07-23 |
| Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification | | 80.31 | 57.53 | | | MSCAN | 2017-10-18 |
| A Discriminatively Learned CNN Embedding for Person Re-identification | ✓ Link | 79.51 | 59.87 | | | DLCE | 2016-11-17 |
| Re-ranking Person Re-identification with k-reciprocal Encoding | | 77.11 | 63.63 | | | Re-rank | 2017-01-29 |
| Person Re-identification: Past, Present and Future | | 72.54 | 46.00 | | | IDE | 2016-10-10 |
| Unsupervised Tracklet Person Re-Identification | ✓ Link | 69.2 | 46.2 | | | UTAL | 2019-03-01 |
| Unsupervised Person Re-identification by Soft Multilabel Learning | ✓ Link | 67.7 | 40 | 81.9 | | MAR | 2019-03-15 |
| Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification | | 65.88 | 39.55 | | | S-CNN | 2016-07-28 |
| Learning a Discriminative Null Space for Person Re-identification | | 61.02 | 35.68 | | | DNS | 2016-03-07 |
| Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification | ✓ Link | 54.5 | 26.3 | | | CAMEL* | 2017-08-27 |
| Scalable Metric Learning via Weighted Approximate Rank Component Analysis | | 45.16 | | | | WARCA | 2016-03-01 |
| Unsupervised Person Re-identification: Clustering and Fine-tuning | ✓ Link | 44.7 | 20.1 | | | PUL* | 2017-05-30 |
| Person Re-identification by Local Maximal Occurrence Representation and Metric Learning | ✓ Link | 43.79 | 22.22 | | | LOMO + XQDA | 2014-06-17 |
| Scalable Person Re-Identification: A Benchmark | | 34.40 | 14.09 | | | BOW | 2015-12-01 |
| Unsupervised Pre-training for Person Re-identification | ✓ Link | | 96.21 | | | Unsupervised Pre-training (ResNet101+RK) | 2020-12-07 |
| PLIP: Language-Image Pre-training for Person Representation Learning | ✓ Link | | 91.2 | | | PLIP-RN50-ABDNet | 2023-05-15 |
| Learning Instance-level Spatial-Temporal Patterns for Person Re-identification | ✓ Link | | 90.8 | | | st-ReID+InSTD | 2021-07-31 |
| UniHCP: A Unified Model for Human-Centric Perceptions | ✓ Link | | 90.3 | | | UniHCP (finetune) | 2023-03-06 |
| Exciting-Inhibition Network for Person Reidentification in Internet of Things | | | 88.75 | | | EI-Net | 2021-10-15 |
| A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification | ✓ Link | | 88.2 | | | IBN-Net50-a | 2019-06-19 |
| Incremental Generative Occlusion Adversarial Suppression Network for Person ReID | ✓ Link | | 84.1 | | | IGOAS | 2021-04-06 |
| Person Re-identification with Deep Similarity-Guided Graph Neural Network | | | 82.8 | | | Proposed SGGNN | 2018-07-26 |
| Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification | ✓ Link | | 41.3 | 83 | | Dispersion based Clustering | 2019-06-04 |
| Lightweight Multi-Branch Network for Person Re-Identification | ✓ Link | | | | 0.50 | LightMBN | 2021-01-26 |