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 501–525 of 525 papers

TitleStatusHype
Hierarchical Convolutional Features for Visual Tracking—0
Hierarchical Feature-Aware Tracking—0
Hierarchical Instruction-aware Embodied Visual Tracking—0
Higher Performance Visual Tracking with Dual-Modal Localization—0
High-Performance Discriminative Tracking With Transformers—0
Distilling Localization for Self-Supervised Representation Learning—0
High Performance Visual Tracking with Circular and Structural Operators—0
Tracking Without Re-recognition in Humans and Machines—0
High precision control and deep learning-based corn stand counting algorithms for agricultural robot—0
Fast Kernelized Correlation Filters without Boundary Effect—0
How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint—0
Distilling Channels for Efficient Deep Tracking—0
HHTrack: Hyperspectral Object Tracking Using Hybrid Attention—0
Human Following for Wheeled Robot with Monocular Pan-tilt Camera—0
Improving Accuracy and Generalization for Efficient Visual Tracking—0
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers—0
In Defense of Sparse Tracking: Circulant Sparse Tracker—0
In Defense of Subspace Tracker: Orthogonal Embedding for Visual Tracking—0
Independent Motion Detection with Event-driven Cameras—0
Inducing Stronger Object Representations in Deep Visual Trackers—0
Instance Significance Guided Multiple Instance Boosting for Robust Visual Tracking—0
TracKlinic: Diagnosis of Challenge Factors in Visual Tracking—0
Development of a N-type GM-PHD Filter for Multiple Target, Multiple Type Visual Tracking—0
Integration of the 3D Environment for UAV Onboard Visual Object 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