| Models as Tools: An Agentic Coordination Framework for Unified Multimodal Visual Tracking | | 86.8 | 95.9 | 87.2 | ACTrack-L 384 | 2026-08-01 |
| Models as Tools: An Agentic Coordination Framework for Unified Multimodal Visual Tracking | | 83.8 | 95.4 | 82.0 | ACTrack-B 224 | 2026-08-01 |
| SUMO: Segment and Track Any Motion with Nonlinear State Space Models | ✓ Link | 83.5 | 95.5 | 83.9 | SUMO-L | 2026-06-29 |
| SUMO: Segment and Track Any Motion with Nonlinear State Space Models | ✓ Link | 82.5 | 93.2 | 81.2 | SUMO-S | 2026-06-29 |
| SENTRY: SAM2-Enhanced Neighbor-Aware and Temporally Reasoned Memory for Visual Tracking | ✓ Link | 82.1 | | | SENTRY-D4S-L | 2026-06-23 |
| SUMO: Segment and Track Any Motion with Nonlinear State Space Models | ✓ Link | 82.0 | 93.0 | 80.2 | SUMO-B | 2026-06-29 |
| TGTrack: Temporal Generative Learning for Unified Single Object Tracking | ✓ Link | 81.8 | 91.1 | 83.8 | TGTrack-L384 (extra data) | 2026-06-03 |
| SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory | ✓ Link | 81.7 | 92.2 | 76.9 | SAMURAI-L | 2024-11-18 |
| ODONet: Online Dynamic Offset Network for Visual Object Tracking | ✓ Link | 81.4 | | | ODONet-B384 | 2026-09-08 |
| TR-MoE: Temporal Reliability-Aware Mixture-of-Experts for Robust Tracking | ✓ Link | 81.4 | 91.9 | 78.8 | TR-MoE | 2026-09-08 |
| A Distractor-Aware Memory for Visual Object Tracking with SAM2 | ✓ Link | 81.1 | | | DAM4SAM | 2024-11-26 |
| SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking | ✓ Link | 81 | 89.2 | 82.3 | SPMTrack-G | 2025-03-24 |
| Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation | ✓ Link | 80.4 | 89.8 | 75.8 | MITS | 2023-08-25 |
| Drift-Resilient Temporal Priors for Visual Tracking | | 80.3 | 89.9 | 81.9 | DTPTrack-L 378 | 2026-04-03 |
| An Efficient Token Compression Framework for Visual Object Tracking | | 80.1 | 89.5 | 80.7 | ETCTrack-B384 | 2026-05-08 |
| Exploring Enhanced Contextual Information for Video-Level Object Tracking | ✓ Link | 80.0 | 88.5 | 80.2 | MCITrack-L384 | 2024-12-15 |
| SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking | ✓ Link | 80 | 89.4 | 79.9 | SPMTrack-L | 2025-03-24 |
| ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe | ✓ Link | 79.5 | 87.8 | 79.6 | ARTrackV2-L | 2023-12-28 |
| An Efficient Token Compression Framework for Visual Object Tracking | | 79.2 | 90.2 | 78.6 | ETCTrack-B224 | 2026-05-08 |
| Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance | ✓ Link | 78.9 | 87.8 | 80.7 | LoRAT-g-378 | 2024-03-08 |
| Autoregressive Visual Tracking | ✓ Link | 78.5 | 87.4 | 77.8 | ARTrack-L | 2023-01-01 |
| ODTrack: Online Dense Temporal Token Learning for Visual Tracking | ✓ Link | 78.2 | | | ODTrack-L | 2024-01-03 |
| RTracker: Recoverable Tracking via PN Tree Structured Memory | ✓ Link | 77.9 | 87 | 76.9 | RTracker-L | 2024-03-28 |
| Exploring Enhanced Contextual Information for Video-Level Object Tracking | ✓ Link | 77.9 | 88.2 | 76.8 | MCITrack-B224 | 2024-12-15 |
| ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Tracking | ✓ Link | 77.8 | | | ReasoningTrack | 2025-08-07 |
| Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance | ✓ Link | 77.5 | 86.2 | 78.1 | LoRAT-L-378 | 2024-03-08 |
| Continuous Token-Level Spatio-Temporal Context Modeling for Visual Object Tracking | ✓ Link | 77.5 | 88.4 | 76.1 | TLCTrack-384 | 2026-09-07 |
| HIPTrack: Visual Tracking with Historical Prompts | ✓ Link | 77.4 | 88.0 | 74.5 | HIPTrack | 2023-11-03 |
| ODTrack: Online Dense Temporal Token Learning for Visual Tracking | ✓ Link | 77.0 | | | ODTrack-B | 2024-01-03 |
| Target-Aware Tracking with Long-term Context Attention | ✓ Link | 76.6 | 85.7 | 73.4 | TATrack-L-GOT | 2023-02-27 |
| SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking | ✓ Link | 76.5 | 85.9 | 76.3 | SPMTrack-B | 2025-03-24 |
| Drift-Resilient Temporal Priors for Visual Tracking | | 76.5 | 87.6 | 74.9 | DTPTrack-B 224 | 2026-04-03 |
| Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers | | 76.0 | 85.2 | 74.9 | AQATrack-384 | 2024-03-15 |
| DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks | ✓ Link | 75.9 | 86.8 | 72 | DropMAE | 2023-04-02 |
| An Efficient Token Compression Framework for Visual Object Tracking | | 75.8 | 86.6 | 75.0 | ETCTrack-S224 | 2026-05-08 |
| NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets | ✓ Link | 75.7 | 85.72 | 73.3 | NeighborTrack-OSTrack | 2022-11-12 |
| MixFormer: End-to-End Tracking with Iterative Mixed Attention | ✓ Link | 75.7 | 85.3 | 75.1 | MixViT-L(ConvMAE) | 2023-02-06 |
| MixFormer: End-to-End Tracking with Iterative Mixed Attention | ✓ Link | 75.6 | 85.73 | 72.8 | MixFormer-L | 2022-03-21 |
| Continuous Token-Level Spatio-Temporal Context Modeling for Visual Object Tracking | ✓ Link | 75.4 | 86.3 | 74.3 | TLCTrack-256 | 2026-09-07 |
| DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking | ✓ Link | 75.2 | 85.9 | 72.0 | DiffusionTrack-B256 (2) | 2024-01-01 |
| An Efficient Token Compression Framework for Visual Object Tracking | | 74.9 | 85.6 | 72.6 | ETCTrack-T224 | 2026-05-08 |
| Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking | ✓ Link | 74.8 | 81.9 | 72.2 | SeqTrack-L384 | 2023-04-27 |
| Adaptive Capacity Autoregressive Visual Tracking | | 74.3 | 84.8 | 70.2 | ARTrack-AC_seq | 2026-06-03 |
| Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework | ✓ Link | 73.7 | 83.2 | 70.8 | OSTrack-384 | 2022-03-22 |
| LoopTrack: A Simple Baseline for Parameter-Efficient Transformer Tracking | | 73.1 | 82.8 | 69.9 | LoopTrack (Three) | 2026-09-27 |
| Revealing the Dark Secrets of Masked Image Modeling | ✓ Link | 72.9 | | | SwinV2-L 1K-MIM | 2022-05-26 |
| Boosting Self-Supervised Tracking with Contextual Prompts and Noise Learning | | 72.7 | 83.4 | 69.9 | PNTrack-384 | 2026-05-07 |
| UETrack: A Unified and Efficient Framework for Single Object Tracking | ✓ Link | 72.6 | 82.5 | 69.8 | UETrack-B | 2026-03-02 |
| LoopTrack: A Simple Baseline for Parameter-Efficient Transformer Tracking | | 71.9 | 81.8 | 67.8 | LoopTrack (Two) | 2026-09-27 |
| MixFormer: End-to-End Tracking with Iterative Mixed Attention | ✓ Link | 71.2 | 79.9 | 65.8 | MixFormer-1k | 2022-03-21 |
| UETrack: A Unified and Efficient Framework for Single Object Tracking | ✓ Link | 71.1 | 81.2 | 67.0 | UETrack-S | 2026-03-02 |
| Revealing the Dark Secrets of Masked Image Modeling | ✓ Link | 70.8 | | | SwinV2-B 1K-MIM | 2022-05-26 |
| MixFormer: End-to-End Tracking with Iterative Mixed Attention | ✓ Link | 70.7 | 80.0 | 67.8 | MixFormer | 2022-03-21 |
| Motion-aware Sparse Pipeline for Lightweight Object Tracking | | 70.0 | 80.4 | 67.0 | MaST-small | 2026-09-08 |
| AiATrack: Attention in Attention for Transformer Visual Tracking | ✓ Link | 69.6 | 80.0 | 63.2 | AiATrack | 2022-07-20 |
| Multi-State Tracker: Enhancing Efficient Object Tracking via Multi-State Specialization and Interaction | | 69.6 | 79.8 | 64.1 | MST | 2025-08-15 |
| SwinTrack: A Simple and Strong Baseline for Transformer Tracking | ✓ Link | 69.4 | 78 | 64.3 | SwinTrack-B | 2021-12-02 |
| Boosting Self-Supervised Tracking with Contextual Prompts and Noise Learning | | 69.0 | 79.1 | 62.7 | PNTrack-256 | 2026-05-07 |
| Learning Spatio-Temporal Transformer for Visual Tracking | ✓ Link | 68.8 | 78.1 | | STARK | 2021-03-31 |
| LoopTrack: A Simple Baseline for Parameter-Efficient Transformer Tracking | | 68.2 | 78.1 | 61.8 | LoopTrack (One) | 2026-09-27 |
| Towards Sequence-Level Training for Visual Tracking | ✓ Link | 67.5 | 76.8 | 60.3 | SLT-TransT | 2022-08-11 |
| Transformer Tracking | ✓ Link | 67.1 | 76.8 | 60.9 | TransT-GOT | 2021-03-29 |
| Target Transformed Regression for Accurate Tracking | ✓ Link | 66.8 | 77.8 | 57.2 | TREG | 2021-04-01 |
| UETrack: A Unified and Efficient Framework for Single Object Tracking | ✓ Link | 65.3 | 75.1 | 58.4 | UETrack-T | 2026-03-02 |
| Siam R-CNN: Visual Tracking by Re-Detection | ✓ Link | 64.9 | 72.8 | | Siam R-CNN | 2019-11-28 |
| FEAR: Fast, Efficient, Accurate and Robust Visual Tracker | ✓ Link | 64.5 | | | FEAR-L | 2021-12-15 |
| STMTrack: Template-free Visual Tracking with Space-time Memory Networks | ✓ Link | 64.2 | 73.7 | 57.5 | STMTrack | 2021-04-01 |
| Exploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual Tracking | ✓ Link | 62.9 | 71.8 | 55.2 | DyHiT | 2025-06-25 |
| FEAR: Fast, Efficient, Accurate and Robust Visual Tracker | ✓ Link | 62.3 | | | FEAR-M | 2021-12-15 |
| FEAR: Fast, Efficient, Accurate and Robust Visual Tracker | ✓ Link | 61.9 | | | FEAR-XS | 2021-12-15 |
| Tracking-by-Trackers with a Distilled and Reinforced Model | ✓ Link | 61.7 | 72.9 | | TRASFUST | 2020-07-08 |
| Learning Discriminative Model Prediction for Tracking | ✓ Link | 61.1 | 71.7 | | DiMP | 2019-04-15 |
| Ocean: Object-aware Anchor-free Tracking | ✓ Link | 61.1 | 72.1 | | Ocean | 2020-06-18 |
| ATOM: Accurate Tracking by Overlap Maximization | ✓ Link | 61.0 | 74.2 | | ATOM | 2018-11-19 |
| SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines | ✓ Link | 61.0 | 74.2 | | SiamFC++ | 2019-11-14 |