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 201–225 of 525 papers

TitleStatusHype
Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery—0
Deep Learning-based Spacecraft Relative Navigation Methods: A Survey—0
Video Annotation for Visual Tracking via Selection and RefinementCode0
Learn to Match: Automatic Matching Network Design for Visual Tracking—0
Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking—0
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture SearchCode0
Self-Supervised Tracking via Target-Aware Data Synthesis—0
Progressive Unsupervised Learning for Visual Object Tracking—0
Towards Distraction-Robust Active Visual Tracking—0
Domain Adaptive SiamRPN++ for Object Tracking in the Wild—0
Tracking Without Re-recognition in Humans and Machines—0
Superevents: Towards Native Semantic Segmentation for Event-based Cameras—0
Spatio-Temporal Matching for Siamese Visual Tracking—0
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking—0
Equivalence of Correlation Filter and Convolution Filter in Visual Tracking—0
Occlusion-aware Visual Tracker using Spatial Structural Information and Dominant Features—0
Learning Target Candidate Association to Keep Track of What Not to Track—0
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark—0
High precision control and deep learning-based corn stand counting algorithms for agricultural robot—0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network—0
Real-Time Visual Object Tracking via Few-Shot Learning—0
Higher Performance Visual Tracking with Dual-Modal Localization—0
Revisiting the details when evaluating a visual trackerCode0
High-Performance Discriminative Tracking With Transformers—0
Cross-Attention Guided Network for 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