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 201–225 of 525 papers

TitleStatusHype
MLVSNet: Multi-Level Voting Siamese Network for 3D Visual TrackingCode0
Real-Time Salient Closed Boundary Tracking via Line Segments Perceptual GroupingCode0
Towards a Unified Approach to Homography Estimation Using Image Features and Pixel IntensitiesCode0
DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking—0
Domain Adaptive SiamRPN++ for Object Tracking in the Wild—0
Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination—0
Distilling Localization for Self-Supervised Representation Learning—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
Direct Visual-Inertial Odometry with Semi-Dense Mapping—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
Development of a N-type GM-PHD Filter for Multiple Target, Multiple Type Visual Tracking—0
Derivation of a Constant Velocity Motion Model for Visual Tracking—0
Learning Feature Embeddings for Discriminant Model based Tracking—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
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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