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 201–250 of 525 papers

TitleStatusHype
Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery—0
Deep Learning-based Spacecraft Relative Navigation Methods: A Survey—0
Video Annotation for Visual Tracking via Selection and RefinementCode0
Learn to Match: Automatic Matching Network Design for Visual TrackingCode0
Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking—0
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture SearchCode0
Self-Supervised Tracking via Target-Aware Data Synthesis—0
Progressive Unsupervised Learning for Visual Object Tracking—0
Towards Distraction-Robust Active Visual Tracking—0
Domain Adaptive SiamRPN++ for Object Tracking in the Wild—0
Tracking Without Re-recognition in Humans and Machines—0
Superevents: Towards Native Semantic Segmentation for Event-based Cameras—0
Spatio-Temporal Matching for Siamese Visual Tracking—0
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking—0
Equivalence of Correlation Filter and Convolution Filter in Visual Tracking—0
Occlusion-aware Visual Tracker using Spatial Structural Information and Dominant Features—0
Learning Target Candidate Association to Keep Track of What Not to TrackCode0
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance BenchmarkCode0
High precision control and deep learning-based corn stand counting algorithms for agricultural robot—0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network—0
Real-Time Visual Object Tracking via Few-Shot Learning—0
Higher Performance Visual Tracking with Dual-Modal Localization—0
Revisiting the details when evaluating a visual trackerCode0
MLVSNet: Multi-Level Voting Siamese Network for 3D Visual TrackingCode0
High-Performance Discriminative Tracking With Transformers—0
Cross-Attention Guided Network for Visual Tracking—0
Online Decision Based Visual Tracking via Reinforcement Learning—0
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking—0
Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map—0
Is First Person Vision Challenging for Object Tracking?—0
Graph Attention Tracking—0
Transparent Object Tracking Benchmark—0
RSINet: Rotation-Scale Invariant Network for Online Visual Tracking—0
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss—0
Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions—0
Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning—0
Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking—0
Adversarial Semi-Supervised Multi-Domain Tracking—0
Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual Tracking—0
Online Visual Tracking with One-Shot Context-Aware Domain Adaptation—0
Blending of Learning-based Tracking and Object Detection for Monocular Camera-based Target Following—0
DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic RegressionCode0
RPT: Learning Point Set Representation for Siamese Visual Tracking—0
Integration of the 3D Environment for UAV Onboard Visual Object Tracking—0
PG-Net: Pixel to Global Matching Network for Visual Tracking—0
Efficient Adversarial Attacks for Visual Object Tracking—0
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking—0
Exemplar Loss for Siamese Network in Visual Tracking—0
Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination—0
Deep Convolutional Likelihood Particle Filter 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