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

Showing 51100 of 525 papers

TitleStatusHype
Multi-modal Visual Tracking: Review and Experimental ComparisonCode1
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
Low-Light Object Tracking: A BenchmarkCode1
LiteTrack: Layer Pruning with Asynchronous Feature Extraction for Lightweight and Efficient Visual TrackingCode1
AiATrack: Attention in Attention for Transformer Visual TrackingCode1
MambaEVT: Event Stream based Visual Object Tracking using State Space ModelCode1
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
Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation FiltersCode1
Online Photometric Calibration of Automatic Gain Thermal Infrared CamerasCode1
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object TrackingCode1
Joint Visual Grounding and Tracking with Natural Language SpecificationCode1
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object TrackingCode1
HIPTrack: Visual Tracking with Historical PromptsCode1
Improving Visual Object Tracking through Visual PromptingCode1
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D DataCode1
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing FlowCode1
High-Performance Long-Term Tracking with Meta-UpdaterCode1
Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and SegmentationCode1
How to Train Your Energy-Based Model for RegressionCode1
Improving Underwater Visual Tracking With a Large Scale Dataset and Image EnhancementCode1
Learning Spatio-Temporal Transformer for Visual TrackingCode1
Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental EvaluationCode1
Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual TrackingCode1
LaSOT: A High-quality Large-scale Single Object Tracking BenchmarkCode1
Learning to Fuse Asymmetric Feature Maps in Siamese TrackersCode1
Less is More: Token Context-aware Learning for Object TrackingCode1
An Informative Tracking BenchmarkCode1
Exploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual TrackingCode1
CiteTracker: Correlating Image and Text for Visual TrackingCode1
Multi-Granularity Language-Guided Multi-Object TrackingCode1
Fully Convolutional Online TrackingCode1
Cross-Drone Transformer Network for Robust Single Object TrackingCode1
Predictive Visual Tracking: A New Benchmark and Baseline ApproachCode1
Efficient Visual Tracking via Hierarchical Cross-Attention TransformerCode1
Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio OptimizationCode1
Efficient Motion Prompt Learning for Robust Visual TrackingCode1
Recursive Least-Squares Estimator-Aided Online Learning for Visual TrackingCode1
Energy-Based Models for Deep Probabilistic RegressionCode1
Learning Spatio-Appearance Memory Network for High-Performance Visual TrackingCode1
RTracker: Recoverable Tracking via PN Tree Structured MemoryCode1
Do Different Tracking Tasks Require Different Appearance Models?Code1
Deep Convolutional Neural Networks for Thermal Infrared Object TrackingCode1
Deeper and Wider Siamese Networks for Real-Time Visual TrackingCode1
Transformer TrackingCode1
Explicit Visual Prompts for Visual Object TrackingCode1
Global Instance Tracking: Locating Target More Like HumansCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ARTrack-LAUC60.3Unverified
2UNINEXT-HAUC59.3Unverified
3JointNLTAUC56.9Unverified
4OSTrackAUC55.9Unverified
5TransTAUC50.7Unverified
6AdaSwitcherAUC42Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (Panning MOVi-E)Average Jaccard61.3Unverified
2TAPIR (MOVi-E)Average Jaccard59.8Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (Panning MOVi-E)Average Jaccard57.2Unverified
2TAPIR (MOVi-E)Average Jaccard57.1Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (Panning MOVi-E)Average Jaccard84.7Unverified
2TAPIR (MOVi-E)Average Jaccard84.3Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (MOVi-E)Average Jaccard66.2Unverified
2TAPIR (Panning MOVi-E)Average Jaccard62.7Unverified
#ModelMetricClaimedVerifiedStatus
1TATrack-LAUC71.1Unverified
#ModelMetricClaimedVerifiedStatus
1SiamFC-lu (Ours)AUC0.32Unverified
#ModelMetricClaimedVerifiedStatus
1SiamFC-lu (Ours)AUC0.66Unverified
#ModelMetricClaimedVerifiedStatus
1MDNetScore0.64Unverified
#ModelMetricClaimedVerifiedStatus
1TATrack-LACCURACY0.85Unverified