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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 525 papers

TitleStatusHype
How to Train Your Energy-Based Model for RegressionCode1
Fully Convolutional Online TrackingCode1
High-Performance Long-Term Tracking with Meta-UpdaterCode1
AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal RegularizationCode1
Siamese Box Adaptive Network for Visual TrackingCode1
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation GuidelinesCode1
Energy-Based Models for Deep Probabilistic RegressionCode1
Tracking Holistic Object RepresentationsCode1
Unsupervised Deep TrackingCode1
Deeper and Wider Siamese Networks for Real-Time Visual TrackingCode1
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep NetworksCode1
Real-Time MDNetCode1
Deep Convolutional Neural Networks for Thermal Infrared Object TrackingCode1
What You Have is What You Track: Adaptive and Robust Multimodal TrackingCode0
Comparison of Two Methods for Stationary Incident Detection Based on Background Image—0
Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual TrackingCode0
TrackVLA: Embodied Visual Tracking in the Wild—0
CLDTracker: A Comprehensive Language Description for Visual TrackingCode0
VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models—0
Hierarchical Instruction-aware Embodied Visual Tracking—0
Towards Adaptive Meta-Gradient Adversarial Examples for Visual TrackingCode0
DeepSORT-Driven Visual Tracking Approach for Gesture Recognition in Interactive Systems—0
Predicting Road Surface Anomalies by Visual Tracking of a Preceding Vehicle—0
Adversarial Attack for RGB-Event based Visual Object TrackingCode0
Towards General Multimodal Visual Tracking—0
Technical Report for ReID-SAM on SkiTB Visual Tracking Challenge 2025—0
CFTrack: Enhancing Lightweight Visual Tracking through Contrastive Learning and Feature Matching—0
Enhanced Transformer-Based Tracking for Skiing Events: Overcoming Multi-Camera Challenges, Scale Variations and Rapid Motion -- SkiTB Visual Tracking Challenge 2025—0
DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking—0
Exploring Historical Information for RGBE Visual Tracking with Mamba—0
Autoregressive Sequential Pretraining for Visual Tracking—0
FusionSORT: Fusion Methods for Online Multi-object Visual TrackingCode0
Improving Accuracy and Generalization for Efficient Visual Tracking—0
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model—0
IP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Tracking—0
The Solution for Single Object Tracking Task of Perception Test Challenge 2024—0
Distilling Channels for Efficient Deep Tracking—0
Camouflaged Object Tracking: A BenchmarkCode0
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers—0
Tracking Reflected Objects: A BenchmarkCode0
Learning Motion Blur Robust Vision Transformers with Dynamic Early Exit for Real-Time UAV TrackingCode0
Adaptively Bypassing Vision Transformer Blocks for Efficient Visual TrackingCode0
Robust Visual Tracking via Iterative Gradient Descent and Threshold Selection—0
DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM—0
Learning Tracking Representations from Single Point Annotations—0
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL—0
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
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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