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 326–350 of 525 papers

TitleStatusHype
Temporal Coherent and Graph Optimized Manifold Ranking for Visual Tracking—0
The Solution for Single Object Tracking Task of Perception Test Challenge 2024—0
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking—0
TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking.—0
Towards Distraction-Robust Active Visual Tracking—0
Towards Efficient Training with Negative Samples in Visual Tracking—0
Towards Force Sensing From Vision: Observing Hand-Object Interactions to Infer Manipulation Forces—0
Towards General Multimodal Visual Tracking—0
Towards Real-Time Visual Tracking with Graded Color-names Features—0
Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition—0
Tracking Without Re-recognition in Humans and Machines—0
TracKlinic: Diagnosis of Challenge Factors in Visual Tracking—0
TrackVLA: Embodied Visual Tracking in the Wild—0
Transferring Rich Feature Hierarchies for Robust Visual Tracking—0
Transparent Object Tracking Benchmark—0
TraX: The visual Tracking eXchange Protocol and Library—0
UCT: Learning Unified Convolutional Networks for Real-time Visual Tracking—0
Understanding and Diagnosing Visual Tracking Systems—0
Unified Graph based Multi-Cue Feature Fusion for Robust Visual Tracking—0
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark—0
Unsupervised Learning of Visual Representations using Videos—0
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers—0
Variational Inference and Learning of Piecewise-linear Dynamical Systems—0
VideoTrack: Learning To Track Objects via Video Transformer—0
Visual motion processing and human tracking behavior—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