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 351–400 of 525 papers

TitleStatusHype
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook—0
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss—0
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation—0
Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map—0
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning—0
Robust Object Tracking Based on Temporal and Spatial Deep Networks—0
Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning—0
Robust Structured Group Local Sparse Tracker Using Deep Features—0
Robust Structured Multi-task Multi-view Sparse Tracking—0
Robust Tracking Using Region Proposal Networks—0
Visual tracking brain computer interface—0
Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks—0
Robust Visual Tracking by Motion Analyzing—0
Convolutional Regression for Visual Tracking—0
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching—0
Robust Visual Tracking Using Dynamic Classifier Selection with Sparse Representation of Label Noise—0
Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator—0
3DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Clouds—0
Robust Visual Tracking via Convolutional Networks—0
Visual Tracking Using Attention-Modulated Disintegration and Integration—0
Robust Visual Tracking via Implicit Low-Rank Constraints and Structural Color Histograms—0
Robust Visual Tracking via Inverse Nonnegative Matrix Factorization—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
Visual Tracking using Particle Swarm Optimization—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
Context-aware Visual Tracking with Joint Meta-updating—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
Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking—0
SANet: Structure-Aware Network for Visual Tracking—0
Comparison of Two Methods for Stationary Incident Detection Based on Background Image—0
Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle—0
CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking—0
Semi-Supervised Visual Tracking of Marine Animals using Autonomous Underwater Vehicles—0
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model—0
Shallow Cue Guided Deep Visual Tracking via Mixed Models—0
Visual Tracking Using Pertinent Patch Selection and Masking—0
CFTrack: Enhancing Lightweight Visual Tracking through Contrastive Learning and Feature Matching—0
Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination—0
Siamese Attentional Keypoint Network for High Performance Visual Tracking—0
BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks—0
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking—0
Blending of Learning-based Tracking and Object Detection for Monocular Camera-based Target Following—0
SiamMan: Siamese Motion-aware 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