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 276–300 of 525 papers

TitleStatusHype
Multi-camera Multi-Object Tracking—0
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers—0
Multi-Cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation—0
Deep Attentive Tracking via Reciprocative Learning—0
Variational Inference and Learning of Piecewise-linear Dynamical Systems—0
Multihypothesis Trajectory Analysis for Robust Visual Tracking—0
Multi-Kernel Correlation Filter for Visual Tracking—0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network—0
Multiple Feature Fusion via Weighted Entropy for Visual Tracking—0
Multiple Instance Filtering—0
Multi-Task Correlation Particle Filter for Robust Object Tracking—0
Multi-task Learning for Joint Re-identification, Team Affiliation, and Role Classification for Sports Visual Tracking—0
Multivariate Uncertainty in Deep Learning—0
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects—0
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking—0
Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps—0
Now you see me: evaluating performance in long-term visual tracking—0
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation—0
Object Tracking via Dynamic Feature Selection Processes—0
Object Tracking via Non-Euclidean Geometry: A Grassmann Approach—0
Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark—0
Occlusion-aware Visual Tracker using Spatial Structural Information and Dominant Features—0
Occlusion-Robust Online Multi-Object Visual Tracking using a GM-PHD Filter with CNN-Based Re-Identification—0
Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery—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