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

Showing 151200 of 525 papers

TitleStatusHype
TAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization0
RPT++: Customized Feature Representation for Siamese Visual Tracking0
Active Learning for Deep Visual Tracking0
SIN:Superpixel Interpolation NetworkCode1
Is First Person Vision Challenging for Object Tracking?0
Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery0
Deep Learning-based Spacecraft Relative Navigation Methods: A Survey0
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the WildCode1
Video Annotation for Visual Tracking via Selection and RefinementCode0
Learn to Match: Automatic Matching Network Design for Visual TrackingCode0
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
Learning to Adversarially Blur Visual Object TrackingCode1
Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking0
Do Different Tracking Tasks Require Different Appearance Models?Code1
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture SearchCode0
Differentiable Particle Filters through Conditional Normalizing FlowCode1
Self-Supervised Tracking via Target-Aware Data Synthesis0
Progressive Unsupervised Learning for Visual Object Tracking0
Towards Distraction-Robust Active Visual Tracking0
Domain Adaptive SiamRPN++ for Object Tracking in the Wild0
Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid LabelCode1
Tracking Without Re-recognition in Humans and Machines0
Superevents: Towards Native Semantic Segmentation for Event-based Cameras0
TrTr: Visual Tracking with TransformerCode1
Spatio-Temporal Matching for Siamese Visual Tracking0
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking0
Equivalence of Correlation Filter and Convolution Filter in Visual Tracking0
Occlusion-aware Visual Tracker using Spatial Structural Information and Dominant Features0
SiamCorners: Siamese Corner Networks for Visual TrackingCode1
STMTrack: Template-free Visual Tracking with Space-time Memory NetworksCode1
Target Transformed Regression for Accurate TrackingCode1
Learning Spatio-Temporal Transformer for Visual TrackingCode1
Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and BenchmarkCode1
Learning Target Candidate Association to Keep Track of What Not to TrackCode0
Transformer TrackingCode1
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object TrackingCode1
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance BenchmarkCode0
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual TrackingCode1
High precision control and deep learning-based corn stand counting algorithms for agricultural robot0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network0
Higher Performance Visual Tracking with Dual-Modal Localization0
Real-Time Visual Object Tracking via Few-Shot Learning0
Predictive Visual Tracking: A New Benchmark and Baseline ApproachCode1
Revisiting the details when evaluating a visual trackerCode0
High-Performance Discriminative Tracking With Transformers0
MLVSNet: Multi-Level Voting Siamese Network for 3D Visual TrackingCode0
Cross-Attention Guided Network for Visual Tracking0
Siamese Anchor Proposal Network for High-Speed Aerial TrackingCode1
Multi-modal Visual Tracking: Review and Experimental ComparisonCode1
Online Photometric Calibration of Automatic Gain Thermal Infrared CamerasCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ARTrack-LAUC60.3Unverified
2UNINEXT-HAUC59.3Unverified
3JointNLTAUC56.9Unverified
4OSTrackAUC55.9Unverified
5TransTAUC50.7Unverified
6AdaSwitcherAUC42Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (Panning MOVi-E)Average Jaccard61.3Unverified
2TAPIR (MOVi-E)Average Jaccard59.8Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (Panning MOVi-E)Average Jaccard57.2Unverified
2TAPIR (MOVi-E)Average Jaccard57.1Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (Panning MOVi-E)Average Jaccard84.7Unverified
2TAPIR (MOVi-E)Average Jaccard84.3Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (MOVi-E)Average Jaccard66.2Unverified
2TAPIR (Panning MOVi-E)Average Jaccard62.7Unverified
#ModelMetricClaimedVerifiedStatus
1TATrack-LAUC71.1Unverified
#ModelMetricClaimedVerifiedStatus
1SiamFC-lu (Ours)AUC0.32Unverified
#ModelMetricClaimedVerifiedStatus
1SiamFC-lu (Ours)AUC0.66Unverified
#ModelMetricClaimedVerifiedStatus
1MDNetScore0.64Unverified
#ModelMetricClaimedVerifiedStatus
1TATrack-LACCURACY0.85Unverified