SOTAVerified

Point Tracking

Point Tracking, often referred to as Tracking any Point (TAP) involves acquiring, focusing on, and continuously tracking specific target point/points across video frames. The system identifies the target point, maintains focus, and predicts its movement, enabling smooth tracking even if the target moves unpredictably, or through occlusions. TAP has wide applications like object tracking, surveillance, and autonomous navigation.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 151 papers

TitleStatusHype
Control Barrier Function-Based Quadratic Programming for SafeOperation of Tethered UAVs—0
Extremum Power Seeking Control of A Hybrid Wind-Solar-Storage DC Power System—0
Context-PIPs: Persistent Independent Particles Demands Spatial Context Features—0
Analysis and implementation of the Buck-Boost Modified Series Forward converter applied to photovoltaic systems—0
Energy Optimization of Wind Turbines via a Neural Control Policy Based on Reinforcement Learning Markov Chain Monte Carlo Algorithm—0
CoMIC: Good features for detection and matching at object boundaries—0
Endo-TTAP: Robust Endoscopic Tissue Tracking via Multi-Facet Guided Attention and Hybrid Flow-point Supervision—0
EgoPoints: Advancing Point Tracking for Egocentric Videos—0
GIFT: Generated Indoor video frames for Texture-less point tracking—0
GS-DiT: Advancing Video Generation with Dynamic 3D Gaussian Fields through Efficient Dense 3D Point Tracking—0
GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking—0
Hierarchical Provision of Distribution Grid Flexibility with Online Feedback Optimization—0
Combing Text-based and Drag-based Editing for Precise and Flexible Image Editing—0
A Training-Free Framework for Precise Mobile Manipulation of Small Everyday Objects—0
Agile UAV landing control on moving ship in adverse conditions—0
Edge SLAM: Edge Points Based Monocular Visual SLAM—0
CoMaL Tracking: Tracking Points at the Object Boundaries—0
DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction—0
A simulation-based comparative analysis of PID and LQG control for closed-loop anesthesia delivery—0
Dynamic Camera Poses and Where to Find Them—0
Dual Control of Exploration and Exploitation for Auto-Optimisation Control with Active Learning—0
A Rprop-Neural-Network-Based PV Maximum Power Point Tracking Algorithm with Short-Circuit Current Limitation—0
DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos—0
Can Visual Foundation Models Achieve Long-term Point Tracking?—0
A-MFST: Adaptive Multi-Flow Sparse Tracker for Real-Time Tissue Tracking Under Occlusion—0
Show:102550
← PrevPage 3 of 7Next →
All datasetsTAP-Vid-DAVISPointOdysseyTAP-Vid-DAVIS-FirstTAP-Vid-KineticsTAP-Vid-Kinetics-FirstTAP-Vid-RGB-StackingPerception TestTAP-Vid

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LocoTrack-BAverage Jaccard69.4—Unverified
2BootsTAPIRAverage Jaccard66.2—Unverified
3CoTrackerAverage Jaccard65.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PIPs++Survival50.47—Unverified
2PIPs+Survival49.88—Unverified
#ModelMetricClaimedVerifiedStatus
1LocoTrack-BAverage Jaccard64.8—Unverified
2CoTrackerAverage Jaccard62.2—Unverified
#ModelMetricClaimedVerifiedStatus
1BootsTAPIRAverage Jaccard61.4—Unverified
2LocoTrack-BAverage Jaccard59.1—Unverified
#ModelMetricClaimedVerifiedStatus
1LocoTrack-BAverage Jaccard52.3—Unverified
2CoTrackerAverage Jaccard48.8—Unverified
#ModelMetricClaimedVerifiedStatus
1BootsTAPIRAverage Jaccard72.4—Unverified
2LocoTrack-BAverage Jaccard70.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Static BaselineAverage Jaccard0.36—Unverified
#ModelMetricClaimedVerifiedStatus
1PIPs++MTE4.6—Unverified