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 376–400 of 525 papers

TitleStatusHype
VITAL: VIsual Tracking via Adversarial Learning—0
Visual Tracking Using Sparse Coding and Earth Mover's Distance—0
Context-aware Deep Feature Compression for High-speed Visual TrackingCode0
A New Target-specific Object Proposal Generation Method for Visual Tracking—0
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking—0
Learning Spatial-Temporal Regularized Correlation Filters for Visual TrackingCode0
Region-filtering Correlation Tracking—0
Learning Dynamic Memory Networks for Object TrackingCode0
Patchwise object tracking via structural local sparse appearance model—0
A Structural Correlation Filter Combined with A Multi-task Gaussian Particle Filter for Visual Tracking—0
Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps—0
Saliency-Enhanced Robust Visual Tracking—0
Depth-Adaptive Computational Policies for Efficient Visual Tracking—0
Deep Meta Learning for Real-Time Target-Aware Visual Tracking—0
Long-Term Visual Object Tracking BenchmarkCode0
Particle filter re-detection for visual tracking via correlation filters—0
MAVOT: Memory-Augmented Video Object Tracking—0
UCT: Learning Unified Convolutional Networks for Real-time Visual Tracking—0
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio VariationCode0
Visual Tracking via Dynamic Graph Learning—0
Robust Object Tracking Based on Temporal and Spatial Deep Networks—0
Underwater Multi-Robot Convoying using Visual Tracking by DetectionCode0
Multi-camera Multi-Object Tracking—0
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects—0
Kernel Cross-CorrelatorCode0
Show:102550
← PrevPage 16 of 21Next →
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