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 5175 of 525 papers

TitleStatusHype
Tracker Meets Night: A Transformer Enhancer for UAV TrackingCode1
Target-Aware Tracking with Long-term Context AttentionCode1
Video Object Segmentation-aware Video Frame InterpolationCode1
PVT++: A Simple End-to-End Latency-Aware Visual Tracking FrameworkCode1
Transformer-based assignment decision network for multiple object trackingCode1
AiATrack: Attention in Attention for Transformer Visual TrackingCode1
Ranking-Based Siamese Visual TrackingCode1
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam SearchCode1
SparseTT: Visual Tracking with Sparse TransformersCode1
Efficient Visual Tracking via Hierarchical Cross-Attention TransformerCode1
Robust Visual Tracking by SegmentationCode1
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing FlowCode1
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV TrackingCode1
Global Instance Tracking: Locating Target More Like HumansCode1
Recursive Least-Squares Estimator-Aided Online Learning for Visual TrackingCode1
Space Non-cooperative Object Active Tracking with Deep Reinforcement LearningCode1
An Informative Tracking BenchmarkCode1
SwinTrack: A Simple and Strong Baseline for Transformer TrackingCode1
SIN:Superpixel Interpolation NetworkCode1
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the WildCode1
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
Learning to Adversarially Blur Visual Object TrackingCode1
Do Different Tracking Tasks Require Different Appearance Models?Code1
Differentiable Particle Filters through Conditional Normalizing FlowCode1
Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid LabelCode1
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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