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 326–350 of 525 papers

TitleStatusHype
Saliency Guided Hierarchical Robust Visual Tracking—0
Shallow Cue Guided Deep Visual Tracking via Mixed Models—0
Unified Graph based Multi-Cue Feature Fusion for Robust Visual Tracking—0
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking—0
Multiview Supervision By RegistrationCode0
Multi-hierarchical Independent Correlation Filters for Visual TrackingCode0
FANet: Quality-Aware Feature Aggregation Network for Robust RGB-T Tracking—0
ATOM: Accurate Tracking by Overlap MaximizationCode0
Robust Visual Tracking using Multi-Frame Multi-Feature Joint ModelingCode0
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning—0
DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking—0
Real-Time Visual Tracking and Identification for a Team of Homogeneous Humanoid Robots—0
Efficient Multi-level Correlating for Visual Tracking—0
FPGA-based Acceleration System for Visual Tracking—0
3D model silhouette-based tracking in depth images for puppet suit dynamic video-mapping—0
Deep Attentive Tracking via Reciprocative Learning—0
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers—0
Adversarial Feature Sampling Learning for Efficient Visual Tracking—0
Learning regression and verification networks for long-term visual trackingCode0
Visual Tracking via Spatially Aligned Correlation Filters Network—0
Structured Siamese Network for Real-Time Visual Tracking—0
Real-time 'Actor-Critic' Tracking—0
Deep Reinforcement Learning with Iterative Shift for Visual Tracking—0
Distractor-aware Siamese Networks for Visual Object TrackingCode0
Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications—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