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
TracKlinic: Diagnosis of Challenge Factors in Visual Tracking—0
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual TrackingCode0
ROI Pooled Correlation Filters for Visual TrackingCode0
Deep Flow Collaborative Network for Online Visual Tracking—0
Multivariate Uncertainty in Deep Learning—0
SPARK: Spatial-aware Online Incremental Attack Against Visual TrackingCode0
Superpixel Tensor Pooling for Visual Tracking using Multiple Midlevel Visual Cues Fusion—0
Hierarchical Feature-Aware Tracking—0
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
Inducing Stronger Object Representations in Deep Visual Trackers—0
Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator—0
GradNet: Gradient-Guided Network for Visual Object TrackingCode0
Human Following for Wheeled Robot with Monocular Pan-tilt Camera—0
Saliency based Semi-supervised Learning for Orbiting Satellite Tracking—0
Discriminative and Robust Online Learning for Siamese Visual TrackingCode0
Learning Reinforced Attentional Representation for End-to-End Visual Tracking—0
Learning Target-oriented Dual Attention for Robust RGB-T Tracking—0
Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning—0
Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus VerificationCode0
Learning Compact Target-Oriented Feature Representations for Visual Tracking—0
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking—0
Real Time Visual Tracking using Spatial-Aware Temporal Aggregation NetworkCode0
Learning the Model Update for Siamese TrackersCode0
Distilled Siamese Networks for Visual Tracking—0
Real-Time Correlation Tracking via Joint Model Compression and TransferCode0
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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