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 110 of 525 papers

TitleStatusHype
What You Have is What You Track: Adaptive and Robust Multimodal TrackingCode0
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement LearningCode2
Exploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual TrackingCode1
Comparison of Two Methods for Stationary Incident Detection Based on Background Image0
Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual TrackingCode0
CLDTracker: A Comprehensive Language Description for Visual TrackingCode0
TrackVLA: Embodied Visual Tracking in the Wild0
VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models0
Hierarchical Instruction-aware Embodied Visual Tracking0
Efficient Motion Prompt Learning for Robust Visual TrackingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SiamFC-lu (Ours)AUC0.66Unverified