mlsanityData to 14 Oct 2026

Siam R-CNN: Visual Tracking by Re-Detection

arXiv 1911.12836 ↗First posted 28 Nov 2019cs.CVcited by 174

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Abstract (arXiv)

We present Siam R-CNN, a Siamese re-detection architecture which unleashes the full power of two-stage object detection approaches for visual object tracking. We combine this with a novel tracklet-based dynamic programming algorithm, which takes advantage of re-detections of both the first-frame template and previous-frame predictions, to model the full history of both the object to be tracked and potential distractor objects. This enables our approach to make better tracking decisions, as well as to re-detect tracked objects after long occlusion. Finally, we propose a novel hard example mining strategy to improve Siam R-CNN's robustness to similar looking objects. Siam R-CNN achieves the current best performance on ten tracking benchmarks, with especially strong results for long-term tracking. We make our code and models available at www.vision.rwth-aachen.de/page/siamrcnn.

Key facts. Cited by 174 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Nov 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 42; 2022: 33; 2023: 37; 2024: 26; 2025: 24; 2026: 12.

174 papers.

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  1. 2021Transformer Trackingcited by 412
  2. 2021Learning Spatio-Temporal Transformer for Visual Trackingcited by 350
  3. 2022Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Frameworkcited by 330
  4. 2022MixFormer: End-to-End Tracking with Iterative Mixed Attentioncited by 281
  5. 2021Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Trackingcited by 220
  6. 2023Universal Instance Perception as Object Discovery and Retrievalcited by 192
  7. 2021Learning Target Candidate Association to Keep Track of What Not to Trackcited by 131
  8. 2021VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flowscited by 129
  9. 2024ODTrack: Online Dense Temporal Token Learning for Visual Trackingcited by 129
  10. 2021Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmarkcited by 126
  11. 2021SwinTrack: A Simple and Strong Baseline for Transformer Trackingcited by 126
  12. 2022Transforming Model Prediction for Trackingcited by 117
38 more
  1. 2022Towards Grand Unification of Object Trackingcited by 93
  2. 2021STMTrack: Template-free Visual Tracking with Space-time Memory Networkscited by 91
  3. 2021LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Searchcited by 82
  4. 2023Robust Object Modeling for Visual Trackingcited by 80
  5. 2022Transformer Tracking with Cyclic Shifting Window Attentioncited by 75
  6. 2023General Object Foundation Model for Images and Videos at Scalecited by 71
  7. 2023Single-Model and Any-Modality for Video Object Trackingcited by 65
  8. 2024OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuningcited by 65
  9. 2021Joint Inductive and Transductive Learning for Video Object Segmentationcited by 61
  10. 2022Accelerating DETR Convergence via Semantic-Aligned Matchingcited by 58
  11. 20213D Siamese Voxel-to-BEV Tracker for Sparse Point Cloudscited by 54
  12. 2022Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metriccited by 52
  13. 2023Compact Transformer Tracker with Correlative Masked Modelingcited by 50
  14. 2021Efficient Visual Tracking with Exemplar Transformerscited by 48
  15. 2022Divert More Attention to Vision-Language Trackingcited by 47
  16. 2021Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlookcited by 46
  17. 20213D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloudcited by 45
  18. 2024SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Trackingcited by 44
  19. 2023Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackerscited by 43
  20. 2022Robust Visual Tracking by Segmentationcited by 38
  21. 2024Exploring Enhanced Contextual Information for Video-Level Object Trackingcited by 37
  22. 2023CiteTracker: Correlating Image and Text for Visual Trackingcited by 36
  23. 2021Anti-UAV: A Large Multi-Modal Benchmark for UAV Trackingcited by 31
  24. 2025Towards Universal Modal Tracking with Online Dense Temporal Token Learningcited by 30
  25. 2022Real-time 3D Single Object Tracking with Transformercited by 27
  26. 2023EgoTracks: A Long-term Egocentric Visual Object Tracking Datasetcited by 27
  27. 2023All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignmentcited by 27
  28. 2023Towards Real-World Visual Tracking with Temporal Contextscited by 26
  29. 2021IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Trackingcited by 25
  30. 2021Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentationcited by 24
  31. 2022Guide Local Feature Matching by Overlap Estimationcited by 24
  32. 2022Efficient Visual Tracking via Hierarchical Cross-Attention Transformercited by 24
  33. 2024DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLMcited by 24
  34. 2025Exploring Decoupled Spatio-Temporal Consistency Learning and Self-Prompting Evolution for Self-Supervised Trackingcited by 23
  35. 2023DropMAE: Learning Representations via Masked Autoencoders with Spatial-Attention Dropout for Temporal Matching Taskscited by 22
  36. 2023UniRef++: Segment Every Reference Object in Spatial and Temporal Spacescited by 22
  37. 2024OmniVid: A Generative Framework for Universal Video Understandingcited by 22
  38. 2021Learning to Track Objects from Unlabeled Videoscited by 21

50 most cited of 174 All 174 (JSON)