mlsanityData to 14 Oct 2026

MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking

arXiv 2307.15700 ↗First posted 28 Jul 2023cs.CVcited by 88

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Abstract (arXiv)

As a video task, Multiple Object Tracking (MOT) is expected to capture temporal information of targets effectively. Unfortunately, most existing methods only explicitly exploit the object features between adjacent frames, while lacking the capacity to model long-term temporal information. In this paper, we propose MeMOTR, a long-term memory-augmented Transformer for multi-object tracking. Our method is able to make the same object's track embedding more stable and distinguishable by leveraging long-term memory injection with a customized memory-attention layer. This significantly improves the target association ability of our model. Experimental results on DanceTrack show that MeMOTR impressively surpasses the state-of-the-art method by 7.9% and 13.0% on HOTA and AssA metrics, respectively. Furthermore, our model also outperforms other Transformer-based methods on association performance on MOT17 and generalizes well on BDD100K. Code is available at https://github.com/MCG-NJU/MeMOTR.

Key facts. Cited by 88 papers in the map (data through 14 Oct 2026). Builds on 43 of its 50 references that are in the map. First posted on arXiv 28 Jul 2023.

Builds on

43 of 50 references.

References · 43

  1. 2017Attention Is All You Needcited by 60,361
  2. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  3. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  4. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  5. 2020End-to-End Object Detection with Transformerscited by 7,414
  6. 2020Deformable DETR: Deformable Transformers for End-to-End Object Detectioncited by 3,422
  7. 2018BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learningcited by 1,288
  8. 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,071
  9. 2017Simple Online and Realtime Tracking with a Deep Association Metriccited by 910
  10. 2016Simple Online and Realtime Trackingcited by 868
  11. 2021ByteTrack: Multi-Object Tracking by Associating Every Detection Boxcited by 823
  12. 2016Performance Measures and a Data Set for Multi-Target, Multi-Camera Trackingcited by 692
31 more
  1. 2018Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networkscited by 690
  2. 2022DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETRcited by 573
  3. 2020HOTA: A Higher Order Metric for Evaluating Multi-Object Trackingcited by 552
  4. 2016MOT16: A Benchmark for Multi-Object Trackingcited by 532
  5. 2021TrackFormer: Multi-Object Tracking with Transformerscited by 518
  6. 2020FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Trackingcited by 490
  7. 2020Tracking Objects as Pointscited by 483
  8. 2019Tracking without bells and whistlescited by 382
  9. 2021MOTR: End-to-End Multiple-Object Tracking with Transformercited by 381
  10. 2020TransTrack: Multiple Object Tracking with Transformercited by 371
  11. 2020MOT20: A benchmark for multi object tracking in crowded scenescited by 357
  12. 2022Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Trackingcited by 346
  13. 2019Towards Real-Time Multi-Object Trackingcited by 311
  14. 2018CrowdHuman: A Benchmark for Detecting Human in a Crowdcited by 284
  15. 2020Quasi-Dense Similarity Learning for Multiple Object Trackingcited by 220
  16. 2021DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motioncited by 217
  17. 2021Track to Detect and Segment: An Online Multi-Object Trackercited by 156
  18. 2018SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videoscited by 150
  19. 2022MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectorscited by 148
  20. 2023SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenescited by 131
  21. 2022MeMOT: Multi-Object Tracking with Memorycited by 114
  22. 2022Global Tracking Transformerscited by 110
  23. 2022Towards Grand Unification of Object Trackingcited by 93
  24. 2018Features for Multi-Target Multi-Camera Tracking and Re-Identificationcited by 88
  25. 2021MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?cited by 69
  26. 2022Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Spacecited by 66
  27. 2022Tracking Every Thing in the Wildcited by 44
  28. 2022Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?cited by 29
  29. 2022End-to-end Tracking with a Multi-query Transformercited by 5
  30. 2022Tracking by Associating Clipscited by 5
  31. 2022Multiple Object Tracking Challenge Technical Report for Team MT_IoTcited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 28; 2025: 29; 2026: 29.

88 papers.

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  1. 2024MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mappingcited by 68
  2. 2024Multiple Object Tracking as ID Predictioncited by 60
  3. 2024Bootstrapping Referring Multi-Object Trackingcited by 22
  4. 2024Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Trackingcited by 21
  5. 2024EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Drivingcited by 19
  6. 2024MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expertcited by 17
  7. 2025SAM2MOT: A Novel Paradigm of Multi-Object Tracking by Segmentationcited by 17
  8. 2024Self-Supervised Multi-Object Tracking with Path Consistencycited by 16
  9. 2024Multi-Object Tracking in the Darkcited by 14
  10. 2025Omnidirectional Multi-Object Trackingcited by 13
  11. 2025CoMotion: Concurrent Multi-person 3D Motioncited by 13
  12. 2024Beyond MOT: Semantic Multi-Object Trackingcited by 12
38 more
  1. 2025OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformercited by 11
  2. 2024DeconfuseTrack:Dealing with Confusion for Multi-Object Trackingcited by 9
  3. 2024ETTrack: Enhanced Temporal Motion Predictor for Multi-Object Trackingcited by 9
  4. 2024LaMOT: Language-Guided Multi-Object Trackingcited by 9
  5. 2025Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architecturescited by 9
  6. 2024ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorizationcited by 8
  7. 2023AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributescited by 6
  8. 2024TrackSSM: A General Motion Predictor by State-Space Modelcited by 6
  9. 2025No Train Yet Gain: Towards Generic Multi-Object Tracking in Sports and Beyondcited by 6
  10. 2025Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptationcited by 6
  11. 2024Associate Everything Detected: Facilitating Tracking-by-Detection to the Unknowncited by 5
  12. 2024Is Multiple Object Tracking a Matter of Specialization?cited by 5
  13. 2025MEX: Memory-efficient Approach to Referring Multi-Object Trackingcited by 4
  14. 2025CAMELTrack: Context-Aware Multi-cue ExpLoitation for Online Multi-Object Trackingcited by 4
  15. 2025Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Artcited by 4
  16. 2025Latest Object Memory Management for Temporally Consistent Video Instance Segmentationcited by 4
  17. 2025OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedbackcited by 4
  18. 2024On the Equivalency, Substitutability, and Flexibility of Synthetic Datacited by 3
  19. 2025NOOUGAT: Towards Unified Online and Offline Multi-Object Trackingcited by 3
  20. 2025Motion-Aware Vision-Reference Alignment for Referring Multi-Object Trackingcited by 3
  21. 2026TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception -- Don't Treat All Uncertainty the Samecited by 3
  22. 2023DecoderTracker: Decoder-Only Method for Multiple-Object Trackingcited by 2
  23. 2024Is a Pure Transformer Effective for Separated and Online Multi-Object Tracking?cited by 2
  24. 2025History-Aware Transformation of ReID Features for Multiple Object Trackingcited by 2
  25. 2025SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sportscited by 2
  26. 2025CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarioscited by 2
  27. 2025A Tri-Modal Dataset and a Baseline System for Tracking Unmanned Aerial Vehiclescited by 2
  28. 2026AR-MOT: Autoregressive Multi-object Trackingcited by 2
  29. 2026Dual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuitioncited by 2
  30. 2026Hypergraph-State Collaborative Reasoning for Multi-Object Trackingcited by 2
  31. 2024AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Trackingcited by 1
  32. 2024One Homography is All You Need: IMM-based Joint Homography and Multiple Object State Estimationcited by 1
  33. 2024Temporally Propagated Masks and Bounding Boxes: Combining the Best of Both Worlds for Multi-Object Trackingcited by 1
  34. 2024DINTR: Tracking via Diffusion-based Interpolationcited by 1
  35. 2024IP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Trackingcited by 1
  36. 2024Learning a Neural Association Network for Self-supervised Multi-Object Trackingcited by 1
  37. 2024FastTrackTr:Towards Fast Multi-Object Tracking with Transformerscited by 1
  38. 2025Attention to Trajectory: Trajectory-Aware Open-Vocabulary Trackingcited by 1

50 most cited of 88 All 88 (JSON)