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 451475 of 525 papers

TitleStatusHype
Underwater Multi-Robot Convoying using Visual Tracking by DetectionCode0
Learning Dynamic Memory Networks for Object TrackingCode0
MobiFace: A Novel Dataset for Mobile Face Tracking in the WildCode0
Adversarial Attack for RGB-Event based Visual Object TrackingCode0
Learning Background-Aware Correlation Filters for Visual TrackingCode0
Towards Adaptive Meta-Gradient Adversarial Examples for Visual TrackingCode0
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual TrackingCode0
Dual Deep Network for Visual TrackingCode0
MLVSNet: Multi-Level Voting Siamese Network for 3D Visual TrackingCode0
Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual TrackingCode0
Towards a Unified Approach to Homography Estimation Using Image Features and Pixel IntensitiesCode0
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual TrackingCode0
Keyfilter-Aware Real-Time UAV Object TrackingCode0
Kernel learning for visual perceptionCode0
Part-based Visual Tracking via Structural Support Correlation FilterCode0
Camouflaged Object Tracking: A BenchmarkCode0
Kernel Cross-CorrelatorCode0
Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual TrackingCode0
Kernalised Multi-resolution Convnet for Visual TrackingCode0
Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus VerificationCode0
Siam R-CNN: Visual Tracking by Re-DetectionCode0
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio VariationCode0
Adaptively Bypassing Vision Transformer Blocks for Efficient Visual TrackingCode0
SiamVGG: Visual Tracking using Deeper Siamese NetworksCode0
Learning Discriminative Model Prediction for 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