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 101–125 of 525 papers

TitleStatusHype
Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual TrackingCode1
SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual TrackingCode1
Target-Aware Tracking with Long-term Context AttentionCode1
Target Transformed Regression for Accurate TrackingCode1
Fully Convolutional Online TrackingCode1
Exploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual TrackingCode1
Efficient Visual Tracking via Hierarchical Cross-Attention TransformerCode1
Tracker Meets Night: A Transformer Enhancer for UAV TrackingCode1
Global Instance Tracking: Locating Target More Like HumansCode1
Tracking through Containers and Occluders in the WildCode1
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object TrackingCode1
Low-Light Object Tracking: A BenchmarkCode1
Unsupervised Deep Representation Learning for Real-Time TrackingCode1
Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination—0
Domain Adaptive SiamRPN++ for Object Tracking in the Wild—0
Data Fusion in Neuromarketing: Multimodal Analysis of Biosignals, Lifecycle Stages, Current Advances, Datasets, Trends, and Challenges—0
BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks—0
Distilling Channels for Efficient Deep Tracking—0
Exemplar Loss for Siamese Network in Visual Tracking—0
Blending of Learning-based Tracking and Object Detection for Monocular Camera-based Target Following—0
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
Distilling Localization for Self-Supervised Representation Learning—0
Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking—0
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers—0
3D Visual Tracking Framework with Deep Learning for Asteroid Exploration—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