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 176200 of 525 papers

TitleStatusHype
Context-aware Deep Feature Compression for High-speed Visual TrackingCode0
Estimation of control area in badminton doubles with pose information from top and back view drone videosCode0
Learning the Model Update for Siamese TrackersCode0
Learning Spatial-Temporal Regularized Correlation Filters for Visual TrackingCode0
Learning Dynamic Memory Networks for Object TrackingCode0
Robust Visual Tracking using Multi-Frame Multi-Feature Joint ModelingCode0
Robust Visual Tracking Using Oblique Random ForestsCode0
Learning Motion Blur Robust Vision Transformers with Dynamic Early Exit for Real-Time UAV TrackingCode0
Efficient Visual Tracking with Exemplar TransformersCode0
Learning Multi-Domain Convolutional Neural Networks for Visual TrackingCode0
Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual TrackingCode0
CLDTracker: A Comprehensive Language Description for Visual TrackingCode0
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual TrackingCode0
Efficient reinforcement learning control for continuum robots based on Inexplicit Prior KnowledgeCode0
Learning Background-Aware Correlation Filters for Visual TrackingCode0
Learning regression and verification networks for long-term visual trackingCode0
Kernel Cross-CorrelatorCode0
Kernel learning for visual perceptionCode0
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture SearchCode0
Kernalised Multi-resolution Convnet for Visual TrackingCode0
Keyfilter-Aware Real-Time UAV Object TrackingCode0
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity LearningCode0
Dual Deep Network for Visual TrackingCode0
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio VariationCode0
Learning Spatial-Aware Regressions for Visual TrackingCode0
Show:102550
← PrevPage 8 of 21Next →

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