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 101–125 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
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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