SOTAVerified

Visual Tracking

Visual Tracking is an essential and actively researched problem in the field of computer vision with various real-world applications such as robotic services, smart surveillance systems, autonomous driving, and human-computer interaction. It refers to the automatic estimation of the trajectory of an arbitrary target object, usually specified by a bounding box in the first frame, as it moves around in subsequent video frames.

Source: Learning Reinforced Attentional Representation for End-to-End Visual Tracking

Papers

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Showing 1–50 of 525 papers

TitleStatusHype
SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware MemoryCode9
A Distractor-Aware Memory for Visual Object Tracking with SAM2Code3
Universal Instance Perception as Object Discovery and RetrievalCode3
TAPIR: Tracking Any Point with per-frame Initialization and temporal RefinementCode3
Local All-Pair Correspondence for Point TrackingCode3
Learning an Adaptive and View-Invariant Vision Transformer for Real-Time UAV TrackingCode2
Autoregressive Visual TrackingCode2
ODTrack: Online Dense Temporal Token Learning for Visual TrackingCode2
Towards Real-World Visual Tracking with Temporal ContextsCode2
Exploring Enhanced Contextual Information for Video-Level Object TrackingCode2
XTrack: Multimodal Training Boosts RGB-X Video Object TrackersCode2
An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-TrainingCode2
Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale DatasetCode2
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream FrameworkCode2
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement LearningCode2
Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion ApproachCode2
Similarity-Guided Layer-Adaptive Vision Transformer for UAV TrackingCode2
Tracking Meets LoRA: Faster Training, Larger Model, Stronger PerformanceCode2
Fast Online Object Tracking and Segmentation: A Unifying ApproachCode2
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel BaselineCode2
Long-term Frame-Event Visual Tracking: Benchmark Dataset and BaselineCode2
You Only Demonstrate Once: Category-Level Manipulation from Single Visual DemonstrationCode2
VastTrack: Vast Category Visual Object TrackingCode2
Learning Spatio-Temporal Transformer for Visual TrackingCode1
HIPTrack: Visual Tracking with Historical PromptsCode1
Learning to Adversarially Blur Visual Object TrackingCode1
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object TrackingCode1
AiATrack: Attention in Attention for Transformer Visual TrackingCode1
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box EstimationCode1
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV TrackingCode1
Joint Visual Grounding and Tracking with Natural Language SpecificationCode1
Improving Visual Object Tracking through Visual PromptingCode1
Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and SegmentationCode1
LaSOT: A High-quality Large-scale Single Object Tracking BenchmarkCode1
Learning to Fuse Asymmetric Feature Maps in Siamese TrackersCode1
Global Instance Tracking: Locating Target More Like HumansCode1
Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual TrackingCode1
High-Performance Long-Term Tracking with Meta-UpdaterCode1
Efficient Visual Tracking via Hierarchical Cross-Attention TransformerCode1
Explicit Visual Prompts for Visual Object TrackingCode1
Do Different Tracking Tasks Require Different Appearance Models?Code1
AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal RegularizationCode1
Efficient Motion Prompt Learning for Robust Visual TrackingCode1
Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio OptimizationCode1
Exploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual TrackingCode1
Fully Convolutional Online TrackingCode1
Tracking-by-Trackers with a Distilled and Reinforced ModelCode1
Transformer TrackingCode1
How to Train Your Energy-Based Model for RegressionCode1
Deep Convolutional Neural Networks for Thermal Infrared Object TrackingCode1
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All datasetsTNL2KDAVISKineticsKubricRGB-StackingLaSOTOTB-100OTB-2013Second dialogue state tracking challengeTrackingNet

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ARTrack-LAUC60.3—Unverified
2UNINEXT-HAUC59.3—Unverified
3JointNLTAUC56.9—Unverified
4OSTrackAUC55.9—Unverified
5TransTAUC50.7—Unverified
6AdaSwitcherAUC42—Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (Panning MOVi-E)Average Jaccard61.3—Unverified
2TAPIR (MOVi-E)Average Jaccard59.8—Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (Panning MOVi-E)Average Jaccard57.2—Unverified
2TAPIR (MOVi-E)Average Jaccard57.1—Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (Panning MOVi-E)Average Jaccard84.7—Unverified
2TAPIR (MOVi-E)Average Jaccard84.3—Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (MOVi-E)Average Jaccard66.2—Unverified
2TAPIR (Panning MOVi-E)Average Jaccard62.7—Unverified
#ModelMetricClaimedVerifiedStatus
1TATrack-LAUC71.1—Unverified
#ModelMetricClaimedVerifiedStatus
1SiamFC-lu (Ours)AUC0.32—Unverified
#ModelMetricClaimedVerifiedStatus
1SiamFC-lu (Ours)AUC0.66—Unverified
#ModelMetricClaimedVerifiedStatus
1MDNetScore0.64—Unverified
#ModelMetricClaimedVerifiedStatus
1TATrack-LACCURACY0.85—Unverified