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 426–450 of 525 papers

TitleStatusHype
Structural Correlation Filter for Robust Visual Tracking—0
Structural Sparse Tracking—0
Structured Group Local Sparse Tracker—0
Structured Siamese Network for Real-Time Visual Tracking—0
Superevents: Towards Native Semantic Segmentation for Event-based Cameras—0
Superpixel Tensor Pooling for Visual Tracking using Multiple Midlevel Visual Cues Fusion—0
ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration—0
Synthetic data generation for end-to-end thermal infrared tracking—0
A Structural Correlation Filter Combined with A Multi-task Gaussian Particle Filter for Visual Tracking—0
TAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization—0
Target-Aware Deep Tracking—0
A Spectrum-based Image Denoising Method with Edge Feature Enhancement—0
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking—0
TCDCaps: Visual Tracking via Cascaded Dense Capsules—0
Distilled Siamese Networks for Visual Tracking—0
Technical Report for ReID-SAM on SkiTB Visual Tracking Challenge 2025—0
Temporal Coherent and Graph Optimized Manifold Ranking for Visual Tracking—0
An In-Depth Analysis of Visual Tracking with Siamese Neural Networks—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
Visual Tracking via Locality Sensitive Histograms—0
A New Target-specific Object Proposal Generation Method for Visual Tracking—0
Visual Tracking via Nonnegative Regularization Multiple Locality Coding—0
Towards Distraction-Robust Active Visual 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