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
Cross-Attention Guided Network for Visual Tracking—0
Online Decision Based Visual Tracking via Reinforcement Learning—0
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking—0
Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map—0
Is First Person Vision Challenging for Object Tracking?—0
Graph Attention Tracking—0
Transparent Object Tracking Benchmark—0
RSINet: Rotation-Scale Invariant Network for Online Visual Tracking—0
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss—0
Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions—0
Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning—0
Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking—0
Adversarial Semi-Supervised Multi-Domain Tracking—0
Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual Tracking—0
Online Visual Tracking with One-Shot Context-Aware Domain Adaptation—0
Blending of Learning-based Tracking and Object Detection for Monocular Camera-based Target Following—0
DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic RegressionCode0
RPT: Learning Point Set Representation for Siamese Visual Tracking—0
Integration of the 3D Environment for UAV Onboard Visual Object Tracking—0
PG-Net: Pixel to Global Matching Network for Visual Tracking—0
Efficient Adversarial Attacks for Visual Object Tracking—0
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking—0
Exemplar Loss for Siamese Network in Visual Tracking—0
Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination—0
Deep Convolutional Likelihood Particle Filter for Visual 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