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 326–350 of 525 papers

TitleStatusHype
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking—0
Pyramid-based Visual Tracking Using Sparsity Represented Mean Transform—0
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments—0
Correlation Tracking via Robust Region Proposals—0
Kalman Filters and Homography: Utilizing the Matrix A—0
Real-time 3D Human Tracking for Mobile Robots with Multisensors—0
Real-time 'Actor-Critic' Tracking—0
VideoTrack: Learning To Track Objects via Video Transformer—0
Real-time face swapping as a tool for understanding infant self-recognition—0
Correlation-Guided Attention for Corner Detection Based Visual Tracking—0
Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters—0
3D Visual Tracking Framework with Deep Learning for Asteroid Exploration—0
Real-Time Visual Object Tracking via Few-Shot Learning—0
Real-Time Visual Tracking and Identification for a Team of Homogeneous Humanoid Robots—0
Visual motion processing and human tracking behavior—0
Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning—0
Visual Object Tracking in First Person Vision—0
Visual object tracking performance measures revisited—0
ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements—0
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook—0
Recurrently Target-Attending Tracking—0
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning—0
Region-filtering Correlation Tracking—0
Relaxed Multiple-Instance SVM with Application to Object Discovery—0
Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches—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