Data to 7 Oct 2026

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

arXiv 1903.07071 ↗First posted 17 Mar 2019cs.CVcited by 429

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Abstract (arXiv)

This paper explores a simple and efficient baseline for person re-identification (ReID). Person re-identification (ReID) with deep neural networks has made progress and achieved high performance in recent years. However, many state-of-the-arts methods design complex network structure and concatenate multi-branch features. In the literature, some effective training tricks are briefly appeared in several papers or source codes. This paper will collect and evaluate these effective training tricks in person ReID. By combining these tricks together, the model achieves 94.5% rank-1 and 85.9% mAP on Market1501 with only using global features. Our codes and models are available at https://github.com/michuanhaohao/reid-strong-baseline.

Key facts. Cited by 429 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Mar 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 99; 2022: 76; 2023: 77; 2024: 70; 2025: 62; 2026: 45.

429 papers.

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2021TransReID: Transformer-based Object Re-Identificationcited by 432
2022BoT-SORT: Robust Associations Multi-Pedestrian Trackingcited by 313
2022CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labelscited by 177
2023Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrievalcited by 131
2021Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformercited by 119
2022Global Tracking Transformerscited by 110
2023Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Modelscited by 104
2022Clothes-Changing Person Re-identification with RGB Modality Onlycited by 98
2021UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehiclescited by 95
2021Cluster Contrast for Unsupervised Person Re-Identificationcited by 89
2022OpenGait: Revisiting Gait Recognition Toward Better Practicalitycited by 85
2023Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identificationcited by 79

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2022Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identificationcited by 78
2021ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identificationcited by 69
2021Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformercited by 68
2021Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondencescited by 66
2022Body Part-Based Representation Learning for Occluded Person Re-Identificationcited by 63
2022SUES-200: A Multi-height Multi-scene Cross-view Image Benchmark Across Drone and Satellitecited by 61
2021Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Searchcited by 60
2024State Space Model for New-Generation Network Alternative to Transformers: A Surveycited by 59
2021Person Re-identification Method Based on Color Attack and Joint Defencecited by 56
2021Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identificationcited by 50
2021AAformer: Auto-Aligned Transformer for Person Re-Identificationcited by 48
2021Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmarkcited by 47
2021Combined Depth Space based Architecture Search For Person Re-identificationcited by 44
2021Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identificationcited by 44
2022Simple Cues Lead to a Strong Multi-Object Trackercited by 44
2023Exploring Deep Models for Practical Gait Recognitioncited by 44
2021Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Methodcited by 42
2021Feature Erasing and Diffusion Network for Occluded Person Re-Identificationcited by 41
2022Deep Frequency Filtering for Domain Generalizationcited by 41
2021HAT: Hierarchical Aggregation Transformers for Person Re-identificationcited by 39
2021CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identificationcited by 38
2023HumanBench: Towards General Human-centric Perception with Projector Assisted Pretrainingcited by 38
2023Shape-Erased Feature Learning for Visible-Infrared Person Re-Identificationcited by 38
2021Self-Supervised Pre-Training for Transformer-Based Person Re-Identificationcited by 36
2022DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotationscited by 35
2023DyGait: Exploiting Dynamic Representations for High-performance Gait Recognitioncited by 35
2024Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identificationcited by 34
2025Chat-Driven Text Generation and Interaction for Person Retrievalcited by 34
2021A Dataset And Benchmark Of Underwater Object Detection For Robot Pickingcited by 31
2022Cascade Transformers for End-to-End Person Searchcited by 31
2023TOP-ReID: Multi-spectral Object Re-Identification with Token Permutationcited by 31
2024Reconstructing People, Places, and Camerascited by 31
2021Unsupervised Multi-Source Domain Adaptation for Person Re-Identificationcited by 30
2022Dynamic Prototype Mask for Occluded Person Re-Identificationcited by 30
2023Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sportscited by 29
2024DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identificationcited by 29
2021MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmarkcited by 28
2023SynDrone -- Multi-modal UAV Dataset for Urban Scenarioscited by 27

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