mlsanityData to 7 Oct 2026

Siamese Box Adaptive Network for Visual Tracking

arXiv 2003.06761 ↗First posted 15 Mar 2020cs.CVcited by 189

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Abstract (arXiv)

Most of the existing trackers usually rely on either a multi-scale searching scheme or pre-defined anchor boxes to accurately estimate the scale and aspect ratio of a target. Unfortunately, they typically call for tedious and heuristic configurations. To address this issue, we propose a simple yet effective visual tracking framework (named Siamese Box Adaptive Network, SiamBAN) by exploiting the expressive power of the fully convolutional network (FCN). SiamBAN views the visual tracking problem as a parallel classification and regression problem, and thus directly classifies objects and regresses their bounding boxes in a unified FCN. The no-prior box design avoids hyper-parameters associated with the candidate boxes, making SiamBAN more flexible and general. Extensive experiments on visual tracking benchmarks including VOT2018, VOT2019, OTB100, NFS, UAV123, and LaSOT demonstrate that SiamBAN achieves state-of-the-art performance and runs at 40 FPS, confirming its effectiveness and efficiency. The code will be available at https://github.com/hqucv/siamban.

Key facts. Cited by 189 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Mar 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 50; 2022: 34; 2023: 31; 2024: 37; 2025: 25; 2026: 12.

189 papers.

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  1. 2021Transformer Trackingcited by 412
  2. 2021Learning Spatio-Temporal Transformer for Visual Trackingcited by 348
  3. 2022MixFormer: End-to-End Tracking with Iterative Mixed Attentioncited by 278
  4. 2021Learning Target Candidate Association to Keep Track of What Not to Trackcited by 131
  5. 2024ODTrack: Online Dense Temporal Token Learning for Visual Trackingcited by 129
  6. 2021VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flowscited by 128
  7. 2021Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmarkcited by 124
  8. 2022Backbone is All Your Need: A Simplified Architecture for Visual Object Trackingcited by 119
  9. 2022Transforming Model Prediction for Trackingcited by 117
  10. 2021STMTrack: Template-free Visual Tracking with Space-time Memory Networkscited by 91
  11. 2024SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memorycited by 91
  12. 2021Object Tracking by Jointly Exploiting Frame and Event Domaincited by 83
38 more
  1. 2021LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Searchcited by 82
  2. 2023Robust Object Modeling for Visual Trackingcited by 80
  3. 2023Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baselinecited by 73
  4. 2021HiFT: Hierarchical Feature Transformer for Aerial Trackingcited by 72
  5. 2022TCTrack: Temporal Contexts for Aerial Trackingcited by 69
  6. 2021Learn to Match: Automatic Matching Network Design for Visual Trackingcited by 67
  7. 2023Single-Model and Any-Modality for Video Object Trackingcited by 64
  8. 2024OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuningcited by 64
  9. 2022Correlation-Aware Deep Trackingcited by 62
  10. 2023Towards Unified Token Learning for Vision-Language Trackingcited by 62
  11. 2025MOSEv2: A More Challenging Dataset for Video Object Segmentation in Complex Scenescited by 59
  12. 2022Unsupervised Domain Adaptation for Nighttime Aerial Trackingcited by 56
  13. 2023MixFormerV2: Efficient Fully Transformer Trackingcited by 56
  14. 2024Exploiting Multimodal Spatial-temporal Patterns for Video Object Trackingcited by 55
  15. 2023Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Trackingcited by 53
  16. 2022Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metriccited by 51
  17. 2024Explicit Visual Prompts for Visual Object Trackingcited by 50
  18. 2022Divert More Attention to Vision-Language Trackingcited by 47
  19. 2021Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlookcited by 45
  20. 2023CiteTracker: Correlating Image and Text for Visual Trackingcited by 36
  21. 2024Exploring Enhanced Contextual Information for Video-Level Object Trackingcited by 36
  22. 2021DISCO: accurate Discrete Scale Convolutionscited by 35
  23. 2023Generative-based Fusion Mechanism for Multi-Modal Trackingcited by 33
  24. 2021Anti-UAV: A Large Multi-Modal Benchmark for UAV Trackingcited by 31
  25. 2022Unified Transformer Tracker for Object Trackingcited by 31
  26. 2021Saliency-Associated Object Trackingcited by 30
  27. 2023All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignmentcited by 27
  28. 2022WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Trackingcited by 26
  29. 2023Towards Real-World Visual Tracking with Temporal Contextscited by 26
  30. 2021IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Trackingcited by 25
  31. 2022Visual Object Tracking in First Person Visioncited by 25
  32. 2024VastTrack: Vast Category Visual Object Trackingcited by 25
  33. 2022Efficient Visual Tracking via Hierarchical Cross-Attention Transformercited by 24
  34. 2025Exploring Decoupled Spatio-Temporal Consistency Learning and Self-Prompting Evolution for Self-Supervised Trackingcited by 23
  35. 2022AVisT: A Benchmark for Visual Object Tracking in Adverse Visibilitycited by 22
  36. 2025Similarity-Guided Layer-Adaptive Vision Transformer for UAV Trackingcited by 22
  37. 2021Learning to Track Objects from Unlabeled Videoscited by 21
  38. 2021Is First Person Vision Challenging for Object Tracking?cited by 21

50 most cited of 189 All 189 (JSON)