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

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Showing 151–200 of 525 papers

TitleStatusHype
Motion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric SimulatorCode0
Multi-task Learning for Joint Re-identification, Team Affiliation, and Role Classification for Sports Visual Tracking—0
DiffusionTrack: Point Set Diffusion Model for Visual Object TrackingCode0
Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers—0
Visual tracking brain computer interface—0
AViTMP: A Tracking-Specific Transformer for Single-Branch Visual TrackingCode0
Staged Depthwise Correlation and Feature Fusion for Siamese Object Tracking—0
BASE: Probably a Better Approach to Multi-Object Tracking—0
Robust Visual Tracking by Motion Analyzing—0
Towards Efficient Training with Negative Samples in Visual Tracking—0
Efficient Training for Visual Tracking with Deformable Transformer—0
Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic ArmCode0
HHTrack: Hyperspectral Object Tracking Using Hybrid Attention—0
Low-complexity Multidimensional DCT Approximations—0
Estimation of control area in badminton doubles with pose information from top and back view drone videosCode0
SiamTHN: Siamese Target Highlight Network for Visual Tracking—0
Semi-Supervised Visual Tracking of Marine Animals using Autonomous Underwater Vehicles—0
VideoTrack: Learning To Track Objects via Video Transformer—0
Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking—0
Event-based Visual Tracking in Dynamic EnvironmentsCode0
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System—0
3DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Clouds—0
Visual Object Tracking in First Person Vision—0
Tracking Small and Fast Moving Objects: A BenchmarkCode0
Data Fusion in Neuromarketing: Multimodal Analysis of Biosignals, Lifecycle Stages, Current Advances, Datasets, Trends, and Challenges—0
AVisT: A Benchmark for Visual Object Tracking in Adverse VisibilityCode0
Towards Real-Time Visual Tracking with Graded Color-names Features—0
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity LearningCode0
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking—0
CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking—0
Learning Localization-aware Target Confidence for Siamese Visual Tracking—0
Sound Localization by Self-Supervised Time Delay EstimationCode0
Single Object Tracking Research: A Survey—0
In Defense of Subspace Tracker: Orthogonal Embedding for Visual Tracking—0
Context-aware Visual Tracking with Joint Meta-updating—0
Towards a Unified Approach to Homography Estimation Using Image Features and Pixel IntensitiesCode0
Learning Target-aware Representation for Visual Tracking via Informative Interactions—0
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation—0
Efficient Visual Tracking with Exemplar TransformersCode0
Persistent Animal Identification Leveraging Non-Visual MarkersCode0
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook—0
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking—0
3D Visual Tracking Framework with Deep Learning for Asteroid Exploration—0
Learning Online for Unified Segmentation and Tracking Models—0
Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark—0
Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking—0
TAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization—0
RPT++: Customized Feature Representation for Siamese Visual Tracking—0
Active Learning for Deep Visual Tracking—0
Is First Person Vision Challenging for Object 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