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

Showing 476500 of 525 papers

TitleStatusHype
Visual Tracking With Fully Convolutional Networks0
Multi-Kernel Correlation Filter for Visual Tracking0
Linearization to Nonlinear Learning for Visual Tracking0
Local Subspace Collaborative Tracking0
SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking0
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks0
Learning Multi-Domain Convolutional Neural Networks for Visual TrackingCode0
Visual Tracking via Nonnegative Regularization Multiple Locality Coding0
Relaxed Multiple-Instance SVM with Application to Object Discovery0
Efficient Discriminative Nonorthogonal Binary Subspace with its Application to Visual Tracking0
Robust Visual Tracking via Inverse Nonnegative Matrix Factorization0
Online Metric-Weighted Linear Representations for Robust Visual Tracking0
Multihypothesis Trajectory Analysis for Robust Visual Tracking0
Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches0
Long-Term Correlation Tracking0
Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters0
Structural Sparse Tracking0
Towards Force Sensing From Vision: Observing Hand-Object Interactions to Infer Manipulation Forces0
Unsupervised Learning of Visual Representations using Videos0
Understanding and Diagnosing Visual Tracking Systems0
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking0
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network0
Visual object tracking performance measures revisited0
Instance Significance Guided Multiple Instance Boosting for Robust Visual Tracking0
Robust Visual Tracking via Convolutional Networks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ARTrack-LAUC60.3Unverified
2UNINEXT-HAUC59.3Unverified
3JointNLTAUC56.9Unverified
4OSTrackAUC55.9Unverified
5TransTAUC50.7Unverified
6AdaSwitcherAUC42Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (Panning MOVi-E)Average Jaccard61.3Unverified
2TAPIR (MOVi-E)Average Jaccard59.8Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (Panning MOVi-E)Average Jaccard57.2Unverified
2TAPIR (MOVi-E)Average Jaccard57.1Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (Panning MOVi-E)Average Jaccard84.7Unverified
2TAPIR (MOVi-E)Average Jaccard84.3Unverified
#ModelMetricClaimedVerifiedStatus
1TAPIR (MOVi-E)Average Jaccard66.2Unverified
2TAPIR (Panning MOVi-E)Average Jaccard62.7Unverified
#ModelMetricClaimedVerifiedStatus
1TATrack-LAUC71.1Unverified
#ModelMetricClaimedVerifiedStatus
1SiamFC-lu (Ours)AUC0.32Unverified
#ModelMetricClaimedVerifiedStatus
1SiamFC-lu (Ours)AUC0.66Unverified
#ModelMetricClaimedVerifiedStatus
1MDNetScore0.64Unverified
#ModelMetricClaimedVerifiedStatus
1TATrack-LACCURACY0.85Unverified