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 326350 of 525 papers

TitleStatusHype
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking0
Fast Online Object Tracking and Segmentation: A Unifying ApproachCode2
Multiview Supervision By RegistrationCode0
Multi-hierarchical Independent Correlation Filters for Visual TrackingCode0
FANet: Quality-Aware Feature Aggregation Network for Robust RGB-T Tracking0
Robust Visual Tracking using Multi-Frame Multi-Feature Joint ModelingCode0
ATOM: Accurate Tracking by Overlap MaximizationCode0
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning0
DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking0
Real-Time Visual Tracking and Identification for a Team of Homogeneous Humanoid Robots0
Efficient Multi-level Correlating for Visual Tracking0
FPGA-based Acceleration System for Visual Tracking0
Deep Attentive Tracking via Reciprocative Learning0
3D model silhouette-based tracking in depth images for puppet suit dynamic video-mapping0
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers0
Adversarial Feature Sampling Learning for Efficient Visual Tracking0
Learning regression and verification networks for long-term visual trackingCode0
Visual Tracking via Spatially Aligned Correlation Filters Network0
Real-time 'Actor-Critic' Tracking0
Deep Reinforcement Learning with Iterative Shift for Visual Tracking0
Structured Siamese Network for Real-Time Visual Tracking0
Real-Time MDNetCode1
Distractor-aware Siamese Networks for Visual Object TrackingCode0
Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications0
Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual TrackingCode0
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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