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
DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM—0
An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-TrainingCode2
Learning Tracking Representations from Single Point Annotations—0
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL—0
RTracker: Recoverable Tracking via PN Tree Structured MemoryCode1
Multi-attention Associate Prediction Network for Visual Tracking—0
Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model—0
A Spectrum-based Image Denoising Method with Edge Feature Enhancement—0
Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers—0
Long-term Frame-Event Visual Tracking: Benchmark Dataset and BaselineCode2
Tracking Meets LoRA: Faster Training, Larger Model, Stronger PerformanceCode2
Motion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric SimulatorCode0
VastTrack: Vast Category Visual Object TrackingCode2
Unifying Visual and Vision-Language Tracking via Contrastive LearningCode1
Multi-task Learning for Joint Re-identification, Team Affiliation, and Role Classification for Sports Visual Tracking—0
Explicit Visual Prompts for Visual Object TrackingCode1
ODTrack: Online Dense Temporal Token Learning for Visual TrackingCode2
Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers—0
DiffusionTrack: Point Set Diffusion Model for Visual Object TrackingCode0
Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale DatasetCode2
Visual tracking brain computer interface—0
HIPTrack: Visual Tracking with Historical PromptsCode1
AViTMP: A Tracking-Specific Transformer for Single-Branch Visual TrackingCode0
ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual TrackingCode1
Staged Depthwise Correlation and Feature Fusion for Siamese Object Tracking—0
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel BaselineCode2
BASE: Probably a Better Approach to Multi-Object Tracking—0
LiteTrack: Layer Pruning with Asynchronous Feature Extraction for Lightweight and Efficient Visual TrackingCode1
Robust Visual Tracking by Motion Analyzing—0
Towards Efficient Training with Negative Samples in Visual Tracking—0
Efficient Training for Visual Tracking with Deformable Transformer—0
Improving Underwater Visual Tracking With a Large Scale Dataset and Image EnhancementCode1
Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic ArmCode0
Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and SegmentationCode1
CiteTracker: Correlating Image and Text for Visual TrackingCode1
Towards Real-World Visual Tracking with Temporal ContextsCode2
HHTrack: Hyperspectral Object Tracking Using Hybrid Attention—0
Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual TrackingCode1
Robust Object Modeling for Visual TrackingCode1
Low-complexity Multidimensional DCT Approximations—0
TAPIR: Tracking Any Point with per-frame Initialization and temporal RefinementCode3
Cross-Drone Transformer Network for Robust Single Object TrackingCode1
Estimation of control area in badminton doubles with pose information from top and back view drone videosCode0
Tracking through Containers and Occluders in the WildCode1
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object TrackingCode1
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D DataCode1
SiamTHN: Siamese Target Highlight Network for Visual Tracking—0
Joint Visual Grounding and Tracking with Natural Language SpecificationCode1
Tracker Meets Night: A Transformer Enhancer for UAV TrackingCode1
Universal Instance Perception as Object Discovery and RetrievalCode3
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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