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 2650 of 525 papers

TitleStatusHype
Learning Spatio-Temporal Transformer for Visual TrackingCode1
Learning to Adversarially Blur Visual Object TrackingCode1
AiATrack: Attention in Attention for Transformer Visual TrackingCode1
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box EstimationCode1
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV TrackingCode1
LaSOT: A High-quality Large-scale Single Object Tracking BenchmarkCode1
Joint Visual Grounding and Tracking with Natural Language SpecificationCode1
Tracking-by-Trackers with a Distilled and Reinforced ModelCode1
Differentiable Particle Filters through Conditional Normalizing FlowCode1
HIPTrack: Visual Tracking with Historical PromptsCode1
Learning to Fuse Asymmetric Feature Maps in Siamese TrackersCode1
Improving Underwater Visual Tracking With a Large Scale Dataset and Image EnhancementCode1
How to Train Your Energy-Based Model for RegressionCode1
Improving Visual Object Tracking through Visual PromptingCode1
Fully Convolutional Online TrackingCode1
Global Instance Tracking: Locating Target More Like HumansCode1
Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental EvaluationCode1
Energy-Based Models for Deep Probabilistic RegressionCode1
Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio OptimizationCode1
Cross-Drone Transformer Network for Robust Single Object TrackingCode1
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing FlowCode1
Deep Convolutional Neural Networks for Thermal Infrared Object TrackingCode1
Transformer TrackingCode1
High-Performance Long-Term Tracking with Meta-UpdaterCode1
Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and SegmentationCode1
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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