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 101–125 of 151 papers

TitleStatusHype
Combing Text-based and Drag-based Editing for Precise and Flexible Image Editing—0
Unified Grid-Forming Control of PMSG Wind Turbines for Fast Frequency Response and MPPT—0
CoMaL Tracking: Tracking Points at the Object Boundaries—0
Power System Architecture and Control for Green Hydrogen Production via Power Converter-less Photovoltaic-Electrolyser Integration—0
Pre-training Auto-regressive Robotic Models with 4D Representations—0
ProTracker: Probabilistic Integration for Robust and Accurate Point Tracking—0
Can Visual Foundation Models Achieve Long-term Point Tracking?—0
Real-Time Dynamic Layout Optimization for Floating Offshore Wind Farm Control—0
BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events—0
Reinforcement Learning based on Scenario-tree MPC for ASVs—0
Require Process Control? LSTMc is all you need!—0
A Light-powered, Always-On, Smart Camera with Compressed Domain Gesture Detection—0
Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations—0
Neural Eulerian Scene Flow Fields—0
Autonomous Control of a Quadrotor-Manipulator; Application of Extended State Disturbance Observer—0
A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems with Power Reserves and Fast Frequency Response Capabilities—0
A Training-Free Framework for Precise Mobile Manipulation of Small Everyday Objects—0
Set-Point Tracking MPC with Avoidance Features—0
A simulation-based comparative analysis of PID and LQG control for closed-loop anesthesia delivery—0
Agile UAV landing control on moving ship in adverse conditions—0
Solution for Point Tracking Task of ICCV 1st Perception Test Challenge 2023—0
A Rprop-Neural-Network-Based PV Maximum Power Point Tracking Algorithm with Short-Circuit Current Limitation—0
Spatiotemporal Feature Learning for Event-Based Vision—0
St4RTrack: Simultaneous 4D Reconstruction and Tracking in the World—0
StableDrag: Stable Dragging for Point-based Image Editing—0
Show:102550
← PrevPage 5 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