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
Generic Multiview Visual Tracking—0
Geometric Hypergraph Learning for Visual Tracking—0
Graph Attention Tracking—0
Hallucinated Adversarial Learning for Robust Visual Tracking—0
Hedged Deep Tracking—0
Hierarchical Convolutional Features for Visual Tracking—0
Hierarchical Feature-Aware Tracking—0
Robust Visual Tracking via Iterative Gradient Descent and Threshold Selection—0
Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning—0
RPT++: Customized Feature Representation for Siamese Visual Tracking—0
RPT: Learning Point Set Representation for Siamese Visual Tracking—0
RSINet: Rotation-Scale Invariant Network for Online Visual Tracking—0
SafeDrive: A Robust Lane Tracking System for Autonomous and Assisted Driving Under Limited Visibility—0
SafeDrive: Enhancing Lane Appearance for Autonomous and Assisted Driving Under Limited Visibility—0
Saliency based Semi-supervised Learning for Orbiting Satellite Tracking—0
Saliency-Enhanced Robust Visual Tracking—0
Saliency Guided Hierarchical Robust Visual Tracking—0
SANet: Structure-Aware Network for Visual Tracking—0
Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle—0
Semi-Supervised Visual Tracking of Marine Animals using Autonomous Underwater Vehicles—0
Shallow Cue Guided Deep Visual Tracking via Mixed Models—0
Siamese Attentional Keypoint Network for High Performance Visual Tracking—0
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking—0
SiamMan: Siamese Motion-aware Network for Visual Tracking—0
SiamTHN: Siamese Target Highlight 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