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 226–250 of 525 papers

TitleStatusHype
Derivation of a Constant Velocity Motion Model for Visual Tracking—0
Learning Feature Embeddings for Discriminant Model based Tracking—0
Depth-Adaptive Computational Policies for Efficient Visual Tracking—0
Adversarial Semi-Supervised Multi-Domain Tracking—0
Active Learning for Deep Visual Tracking—0
3D Visual Tracking Framework with Deep Learning for Asteroid Exploration—0
Learning Robotic Manipulation through Visual Planning and Acting—0
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking—0
Learning Compact Target-Oriented Feature Representations for Visual Tracking—0
Deformable Parts Correlation Filters for Robust Visual Tracking—0
Learning Compact Binary Codes for Visual Tracking—0
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking—0
Learning a Deep Compact Image Representation for Visual Tracking—0
Deep Tracking: Visual Tracking Using Deep Convolutional Networks—0
Learning Target Candidate Association to Keep Track of What Not to Track—0
DeepSORT-Driven Visual Tracking Approach for Gesture Recognition in Interactive Systems—0
Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking—0
Deep Reinforcement Learning with Iterative Shift for Visual Tracking—0
Deep Reinforcement Learning for Visual Object Tracking in Videos—0
BASE: Probably a Better Approach to Multi-Object Tracking—0
Learning to Update for Object Tracking with Recurrent Meta-learner—0
Deep Motion Features for Visual Tracking—0
Is First Person Vision Challenging for Object Tracking?—0
Deep Meta Learning for Real-Time Target-Aware Visual Tracking—0
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility—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