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 51–100 of 525 papers

TitleStatusHype
Ranking-Based Siamese Visual TrackingCode1
Space Non-cooperative Object Active Tracking with Deep Reinforcement LearningCode1
SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual TrackingCode1
STMTrack: Template-free Visual Tracking with Space-time Memory NetworksCode1
PVT++: A Simple End-to-End Latency-Aware Visual Tracking FrameworkCode1
Real-Time MDNetCode1
AiATrack: Attention in Attention for Transformer Visual TrackingCode1
Scale Equivariance Improves Siamese TrackingCode1
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box EstimationCode1
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV TrackingCode1
Learning Spatio-Temporal Transformer for Visual TrackingCode1
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation GuidelinesCode1
Explicit Visual Prompts for Visual Object TrackingCode1
Exploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual TrackingCode1
Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid LabelCode1
Multi-Granularity Language-Guided Multi-Object TrackingCode1
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D DataCode1
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing FlowCode1
Efficient Motion Prompt Learning for Robust Visual TrackingCode1
Multi-modal Visual Tracking: Review and Experimental ComparisonCode1
Online Photometric Calibration of Automatic Gain Thermal Infrared CamerasCode1
Efficient Visual Tracking via Hierarchical Cross-Attention TransformerCode1
Do Different Tracking Tasks Require Different Appearance Models?Code1
An Informative Tracking BenchmarkCode1
Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental EvaluationCode1
Low-Light Object Tracking: A BenchmarkCode1
Learning Spatio-Appearance Memory Network for High-Performance Visual TrackingCode1
CiteTracker: Correlating Image and Text for Visual TrackingCode1
High-Performance Long-Term Tracking with Meta-UpdaterCode1
MambaEVT: Event Stream based Visual Object Tracking using State Space ModelCode1
Fully Convolutional Online TrackingCode1
Differentiable Particle Filters through Conditional Normalizing FlowCode1
Global Instance Tracking: Locating Target More Like HumansCode1
Robust Visual Tracking by SegmentationCode1
Cross-Drone Transformer Network for Robust Single Object TrackingCode1
Improving Visual Object Tracking through Visual PromptingCode1
Less is More: Token Context-aware Learning for Object TrackingCode1
Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio OptimizationCode1
How to Train Your Energy-Based Model for RegressionCode1
Joint Visual Grounding and Tracking with Natural Language SpecificationCode1
Energy-Based Models for Deep Probabilistic RegressionCode1
LiteTrack: Layer Pruning with Asynchronous Feature Extraction for Lightweight and Efficient Visual TrackingCode1
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object TrackingCode1
Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual TrackingCode1
Deep Convolutional Neural Networks for Thermal Infrared Object TrackingCode1
Deeper and Wider Siamese Networks for Real-Time Visual TrackingCode1
Transformer TrackingCode1
Learning to Fuse Asymmetric Feature Maps in Siamese TrackersCode1
MFTIQ: Multi-Flow Tracker with Independent Matching Quality EstimationCode1
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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