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 251–300 of 525 papers

TitleStatusHype
Deep Motion Features for Visual Tracking—0
Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking—0
Linearization to Nonlinear Learning for Visual Tracking—0
Deep Meta Learning for Real-Time Target-Aware Visual Tracking—0
Deep Learning-based Spacecraft Relative Navigation Methods: A Survey—0
Local Subspace Collaborative Tracking—0
Long-Term Correlation Tracking—0
Long-term Correlation Tracking using Multi-layer Hybrid Features in Sparse and Dense Environments—0
Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications—0
Action Recognition with Joint Attention on Multi-Level Deep Features—0
Low-complexity Multidimensional DCT Approximations—0
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System—0
Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions—0
Deep Flow Collaborative Network for Online Visual Tracking—0
MAVOT: Memory-Augmented Video Object Tracking—0
Measurement-wise Occlusion in Multi-object Tracking—0
Deep Convolutional Likelihood Particle Filter for Visual Tracking—0
mID: Tracking and Identifying People with Millimeter Wave Radar—0
Minimum Uncertainty Gap for Robust Visual Tracking—0
3D model silhouette-based tracking in depth images for puppet suit dynamic video-mapping—0
A Complementary Tracking Model with Multiple Features—0
Modeling and Propagating CNNs in a Tree Structure for Visual Tracking—0
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking—0
Multi-Adapter RGBT Tracking—0
Multi-attention Associate Prediction Network for Visual Tracking—0
Multi-camera Multi-Object Tracking—0
VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models—0
Multi-Cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation—0
Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking—0
Unsupervised Learning of Visual Representations using Videos—0
Multihypothesis Trajectory Analysis for Robust Visual Tracking—0
Multi-Kernel Correlation Filter for Visual Tracking—0
Deep Attentive Tracking via Reciprocative Learning—0
Multiple Feature Fusion via Weighted Entropy for Visual Tracking—0
Multiple Instance Filtering—0
Multi-Task Correlation Particle Filter for Robust Object Tracking—0
Multi-task Learning for Joint Re-identification, Team Affiliation, and Role Classification for Sports Visual Tracking—0
Multivariate Uncertainty in Deep Learning—0
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers—0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network—0
Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps—0
Now you see me: evaluating performance in long-term visual tracking—0
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation—0
Object Tracking via Dynamic Feature Selection Processes—0
Object Tracking via Non-Euclidean Geometry: A Grassmann Approach—0
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking—0
Occlusion-aware Visual Tracker using Spatial Structural Information and Dominant Features—0
Occlusion-Robust Online Multi-Object Visual Tracking using a GM-PHD Filter with CNN-Based Re-Identification—0
Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery—0
Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark—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