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 151–175 of 525 papers

TitleStatusHype
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System—0
Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications—0
Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers—0
Deep Flow Collaborative Network for Online Visual Tracking—0
Deep Convolutional Likelihood Particle Filter for Visual Tracking—0
Autoregressive Sequential Pretraining for Visual Tracking—0
Independent Motion Detection with Event-driven Cameras—0
Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking—0
Deep Attentive Tracking via Reciprocative Learning—0
Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers—0
Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision—0
A Diffusion Process on Riemannian Manifold for Visual Tracking—0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network—0
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking—0
Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark—0
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation—0
A Complementary Tracking Model with Multiple Features—0
Learning Cascaded Siamese Networks for High Performance Visual Tracking—0
Cross-Attention Guided Network for Visual Tracking—0
Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion—0
HHTrack: Hyperspectral Object Tracking Using Hybrid Attention—0
Geometric Hypergraph Learning for Visual Tracking—0
Generic Multiview Visual Tracking—0
Graph Attention Tracking—0
Self-Supervised Tracking via Target-Aware Data Synthesis—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