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 26–50 of 525 papers

TitleStatusHype
FusionSORT: Fusion Methods for Online Multi-object Visual TrackingCode0
Learning an Adaptive and View-Invariant Vision Transformer for Real-Time UAV TrackingCode2
Exploring Enhanced Contextual Information for Video-Level Object TrackingCode2
Improving Accuracy and Generalization for Efficient Visual Tracking—0
A Distractor-Aware Memory for Visual Object Tracking with SAM2Code3
SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware MemoryCode9
Vision Eagle Attention: a new lens for advancing image classificationCode1
MFTIQ: Multi-Flow Tracker with Independent Matching Quality EstimationCode1
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model—0
IP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Tracking—0
The Solution for Single Object Tracking Task of Perception Test Challenge 2024—0
Improving Visual Object Tracking through Visual PromptingCode1
Distilling Channels for Efficient Deep Tracking—0
Camouflaged Object Tracking: A BenchmarkCode0
Low-Light Object Tracking: A BenchmarkCode1
MambaEVT: Event Stream based Visual Object Tracking using State Space ModelCode1
Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion ApproachCode2
Local All-Pair Correspondence for Point TrackingCode3
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers—0
Tracking Reflected Objects: A BenchmarkCode0
Learning Motion Blur Robust Vision Transformers with Dynamic Early Exit for Real-Time UAV TrackingCode0
Adaptively Bypassing Vision Transformer Blocks for Efficient Visual TrackingCode0
Multi-Granularity Language-Guided Multi-Object TrackingCode1
Robust Visual Tracking via Iterative Gradient Descent and Threshold Selection—0
XTrack: Multimodal Training Boosts RGB-X Video Object TrackersCode2
Show:102550
← PrevPage 2 of 21Next →
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