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 201–250 of 525 papers

TitleStatusHype
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture SearchCode0
MLVSNet: Multi-Level Voting Siamese Network for 3D Visual TrackingCode0
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity LearningCode0
Dual Deep Network for Visual TrackingCode0
MobiFace: A Novel Dataset for Mobile Face Tracking in the WildCode0
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent NetworkCode0
Robust Visual Tracking using Multi-Frame Multi-Feature Joint ModelingCode0
Tracking Reflected Objects: A BenchmarkCode0
DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking—0
Learning Tracking Representations from Single Point Annotations—0
Domain Adaptive SiamRPN++ for Object Tracking in the Wild—0
Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination—0
Learning to track on-the-fly using a particle filter with annealed- weighted QPSO modeled after a singular Dirac delta potential—0
Distilling Localization for Self-Supervised Representation Learning—0
Learning Target-oriented Dual Attention for Robust RGB-T Tracking—0
Learning Target-aware Representation for Visual Tracking via Informative Interactions—0
Distilling Channels for Efficient Deep Tracking—0
BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks—0
Data Fusion in Neuromarketing: Multimodal Analysis of Biosignals, Lifecycle Stages, Current Advances, Datasets, Trends, and Challenges—0
Learning Support Correlation Filters for Visual Tracking—0
Learning Spatially Regularized Correlation Filters for Visual Tracking—0
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
Learning Rotation for Kernel Correlation Filter—0
Learning Reinforced Attentional Representation for End-to-End Visual Tracking—0
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers—0
Blending of Learning-based Tracking and Object Detection for Monocular Camera-based Target Following—0
Learning Online for Unified Segmentation and Tracking Models—0
Development of a N-type GM-PHD Filter for Multiple Target, Multiple Type Visual Tracking—0
Learning Localization-aware Target Confidence for Siamese Visual Tracking—0
Derivation of a Constant Velocity Motion Model for Visual Tracking—0
Learning Feature Embeddings for Discriminant Model based Tracking—0
Learning Robotic Manipulation through Visual Planning and Acting—0
Depth-Adaptive Computational Policies for Efficient Visual Tracking—0
Adversarial Semi-Supervised Multi-Domain Tracking—0
Active Learning for Deep Visual Tracking—0
3D Visual Tracking Framework with Deep Learning for Asteroid Exploration—0
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking—0
Learning Compact Target-Oriented Feature Representations for Visual Tracking—0
Deformable Parts Correlation Filters for Robust Visual Tracking—0
Learning Compact Binary Codes for Visual Tracking—0
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking—0
Learning a Deep Compact Image Representation for Visual Tracking—0
Deep Tracking: Visual Tracking Using Deep Convolutional Networks—0
DeepSORT-Driven Visual Tracking Approach for Gesture Recognition in Interactive Systems—0
Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking—0
Learning to Update for Object Tracking with Recurrent Meta-learner—0
Deep Reinforcement Learning with Iterative Shift for Visual Tracking—0
Deep Reinforcement Learning for Visual Object Tracking in Videos—0
Deep Motion Features for 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