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 251–275 of 525 papers

TitleStatusHype
AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal RegularizationCode1
Probabilistic Regression for Visual Tracking—0
Siamese Box Adaptive Network for Visual TrackingCode1
Keyfilter-Aware Real-Time UAV Object TrackingCode0
Efficient reinforcement learning control for continuum robots based on Inexplicit Prior KnowledgeCode0
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation—0
An Analysis of Object Representations in Deep Visual Trackers—0
Generalized mean shift with triangular kernel profile—0
Robust Visual Tracking via Implicit Low-Rank Constraints and Structural Color Histograms—0
SiamMan: Siamese Motion-aware Network for Visual Tracking—0
Occlusion-Robust Online Multi-Object Visual Tracking using a GM-PHD Filter with CNN-Based Re-Identification—0
Kernel learning for visual perceptionCode0
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese TrackersCode0
ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration—0
Deep Learning for Visual Tracking: A Comprehensive SurveyCode0
Siam R-CNN: Visual Tracking by Re-DetectionCode0
TracKlinic: Diagnosis of Challenge Factors in Visual Tracking—0
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual TrackingCode0
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation GuidelinesCode1
Deep Flow Collaborative Network for Online Visual Tracking—0
ROI Pooled Correlation Filters for Visual TrackingCode0
Multivariate Uncertainty in Deep Learning—0
SPARK: Spatial-aware Online Incremental Attack Against Visual TrackingCode0
Superpixel Tensor Pooling for Visual Tracking using Multiple Midlevel Visual Cues Fusion—0
Hierarchical Feature-Aware Tracking—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