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

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Showing 101–150 of 151 papers

TitleStatusHype
Geometric PID Controller for Stabilization of Nonholonomic Mechanical Systems on Lie Groups—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
Improvement of Sliding Mode Control Strategy Founded on Cascaded Doubly Fed Induction Generator Powered by a Matrix Converter—0
Set-Point Tracking MPC with Avoidance Features—0
Solution for Point Tracking Task of ICCV 1st Perception Test Challenge 2023—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
TAPTR: Tracking Any Point with Transformers as Detection—0
TAPTRv3: Spatial and Temporal Context Foster Robust Tracking of Any Point in Long Video—0
TimeTracker: Event-based Continuous Point Tracking for Video Frame Interpolation with Non-linear Motion—0
Topology-Based Feature Design and Tracking for Multi-Center Cyclones—0
Toward Geometric Deep SLAM—0
Toward Scalable, Flexible Scene Flow for Point Clouds—0
Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation—0
Tracking-in-range Formulations for Numerical Optimal Control—0
Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better—0
Training-Free Robust Interactive Video Object Segmentation—0
Trajectory Aligned Features For First Person Action Recognition—0
Transformer based time series prediction of the maximum power point for solar photovoltaic cells—0
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones—0
Unified Grid-Forming Control of PMSG Wind Turbines for Fast Frequency Response and MPPT—0
Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid—0
Real-Time Dynamic Layout Optimization for Floating Offshore Wind Farm Control—0
Reinforcement Learning based on Scenario-tree MPC for ASVs—0
Require Process Control? LSTMc is all you need!—0
Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations—0
Neural Eulerian Scene Flow Fields—0
Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) ChallengeCode0
Leveraging Object Priors for Point TrackingCode0
PIPsUS: Self-Supervised Dense Point Tracking in UltrasoundCode0
TAPNext: Tracking Any Point (TAP) as Next Token PredictionCode0
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual TrackingCode0
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual ImitationCode0
Tracking Any Point with Frame-Event Fusion Network at High Frame RateCode0
Foundation Models for Amodal Video Instance Segmentation in Automated DrivingCode0
Optimal Video Compression using Pixel Shift TrackingCode0
Online Gradient Descent for Flexible Power Point Tracking Under a Highly Fluctuating Weather and LoadCode0
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detectionCode0
DivaTrack: Diverse Bodies and Motions from Acceleration-Enhanced Three-Point TrackersCode0
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement LearningCode0
Skin feature point tracking using deep feature encodingsCode0
Autogenic Language Embedding for Coherent Point TrackingCode0
Multiple model estimation under perspective of random-fuzzy dual interpretation of unknown uncertaintyCode0
CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of VehiclesCode0
A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-ShotCode0
Visual Material Characteristics Learning for Circular HealthcareCode0
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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