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 101–150 of 525 papers

TitleStatusHype
Siamese Box Adaptive Network for Visual TrackingCode1
Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and SegmentationCode1
Online Photometric Calibration of Automatic Gain Thermal Infrared CamerasCode1
Explicit Visual Prompts for Visual Object TrackingCode1
Predictive Visual Tracking: A New Benchmark and Baseline ApproachCode1
An Informative Tracking BenchmarkCode1
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object TrackingCode1
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation GuidelinesCode1
High-Performance Long-Term Tracking with Meta-UpdaterCode1
Ranking-Based Siamese Visual TrackingCode1
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual TrackingCode1
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object TrackingCode1
Global Instance Tracking: Locating Target More Like HumansCode1
ROI Pooled Correlation Filters for Visual TrackingCode0
Robust Visual Tracking via Hierarchical Convolutional FeaturesCode0
Distractor-aware Siamese Networks for Visual Object TrackingCode0
Robust Visual Tracking using Multi-Frame Multi-Feature Joint ModelingCode0
Robust Visual Tracking Using Oblique Random ForestsCode0
Discriminative and Robust Online Learning for Siamese Visual TrackingCode0
Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus VerificationCode0
Revisiting the details when evaluating a visual trackerCode0
DiffusionTrack: Point Set Diffusion Model for Visual Object TrackingCode0
BIT: Biologically Inspired TrackerCode0
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random MeasurementsCode0
DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic RegressionCode0
Camouflaged Object Tracking: A BenchmarkCode0
Real-time visual tracking by deep reinforced decision makingCode0
Real Time Visual Tracking using Spatial-Aware Temporal Aggregation NetworkCode0
Recurrent Filter Learning for Visual TrackingCode0
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese TrackersCode0
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual TrackingCode0
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic ObjectsCode0
Action-Decision Networks for Visual Tracking With Deep Reinforcement LearningCode0
Real-Time Correlation Tracking via Joint Model Compression and TransferCode0
Part-based Visual Tracking via Structural Support Correlation FilterCode0
Adversarial Attack for RGB-Event based Visual Object TrackingCode0
AVisT: A Benchmark for Visual Object Tracking in Adverse VisibilityCode0
Probabilistic Regression for Visual TrackingCode0
Deep Learning for Visual Tracking: A Comprehensive SurveyCode0
Multiview Supervision By RegistrationCode0
Multi-Cue Correlation Filters for Robust Visual TrackingCode0
Multi-hierarchical Independent Correlation Filters for Visual TrackingCode0
Real-Time Salient Closed Boundary Tracking via Line Segments Perceptual GroupingCode0
Long-Term Visual Object Tracking BenchmarkCode0
DCFNet: Discriminant Correlation Filters Network for Visual TrackingCode0
A Universal Update-pacing Framework For Visual TrackingCode0
Learn to Match: Automatic Matching Network Design for Visual TrackingCode0
MLVSNet: Multi-Level Voting Siamese Network for 3D Visual TrackingCode0
Learning Discriminative Model Prediction for TrackingCode0
Learning Target Candidate Association to Keep Track of What Not to TrackCode0
Show:102550
← PrevPage 3 of 11Next →
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