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 151–200 of 525 papers

TitleStatusHype
Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications—0
Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers—0
Independent Motion Detection with Event-driven Cameras—0
In Defense of Sparse Tracking: Circulant Sparse Tracker—0
Deep Flow Collaborative Network for Online Visual Tracking—0
Human Following for Wheeled Robot with Monocular Pan-tilt Camera—0
Deep Convolutional Likelihood Particle Filter for Visual Tracking—0
Autoregressive Sequential Pretraining for Visual Tracking—0
Learning Spatially Regularized Correlation Filters for Visual Tracking—0
Learning Target-aware Representation for Visual Tracking via Informative Interactions—0
Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking—0
Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking—0
Deep Attentive Tracking via Reciprocative Learning—0
Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers—0
A Diffusion Process on Riemannian Manifold for Visual Tracking—0
Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision—0
Learning Localization-aware Target Confidence for Siamese Visual Tracking—0
Learning Online for Unified Segmentation and Tracking Models—0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network—0
Hierarchical Feature-Aware Tracking—0
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking—0
Hedged Deep Tracking—0
Hallucinated Adversarial Learning for Robust Visual Tracking—0
Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark—0
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation—0
A Complementary Tracking Model with Multiple Features—0
Learning Reinforced Attentional Representation for End-to-End Visual Tracking—0
Hierarchical Convolutional Features for Visual Tracking—0
Graph Attention Tracking—0
Hierarchical Instruction-aware Embodied Visual Tracking—0
Higher Performance Visual Tracking with Dual-Modal Localization—0
High-Performance Discriminative Tracking With Transformers—0
Learning Cascaded Siamese Networks for High Performance Visual Tracking—0
High Performance Visual Tracking with Circular and Structural Operators—0
Cross-Attention Guided Network for Visual Tracking—0
High precision control and deep learning-based corn stand counting algorithms for agricultural robot—0
Fast Kernelized Correlation Filters without Boundary Effect—0
How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint—0
Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion—0
HHTrack: Hyperspectral Object Tracking Using Hybrid Attention—0
Learning Compact Target-Oriented Feature Representations for Visual Tracking—0
Improving Accuracy and Generalization for Efficient Visual Tracking—0
Geometric Hypergraph Learning for Visual Tracking—0
Generic Multiview Visual Tracking—0
Self-Supervised Tracking via Target-Aware Data Synthesis—0
In Defense of Subspace Tracker: Orthogonal Embedding for Visual Tracking—0
Generalized mean shift with triangular kernel profile—0
Inducing Stronger Object Representations in Deep Visual Trackers—0
Fusion with Diffusion for Robust Visual Tracking—0
CREST: Convolutional Residual Learning for 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