Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking
Although deep learning-based visual tracking methods have made significant progress, they exhibit vulnerabilities when facing carefully designed adversarial attacks, which can lead to a sharp decline in tracking performa…
Adversarial DefenseDenoisingVisual TrackingTrackVLA: Embodied Visual Tracking in the Wild
Embodied visual tracking is a fundamental skill in Embodied AI, enabling an agent to follow a specific target in dynamic environments using only egocentric vision. This task is inherently challenging as it requires both …
Language ModelingLanguage ModellingObject RecognitionTrajectory Planning+2CLDTracker: A Comprehensive Language Description for Visual Tracking
VOT remains a fundamental yet challenging task in computer vision due to dynamic appearance changes, occlusions, and background clutter. Traditional trackers, relying primarily on visual cues, often struggle in such comp…
Image CaptioningVisual TrackingHierarchical Instruction-aware Embodied Visual Tracking
User-Centric Embodied Visual Tracking (UC-EVT) presents a novel challenge for reinforcement learning-based models due to the substantial gap between high-level user instructions and low-level agent actions. While recent …
Action GenerationPositionVisual TrackingVLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models
We introduce a novel self-improving framework that enhances Embodied Visual Tracking (EVT) with Vision-Language Models (VLMs) to address the limitations of current active visual tracking systems in recovering from tracki…
Spatial ReasoningVisual TrackingEfficient Motion Prompt Learning for Robust Visual Tracking
Due to the challenges of processing temporal information, most trackers depend solely on visual discriminability and overlook the unique temporal coherence of video data. In this paper, we propose a lightweight and plug-…
DecoderPrompt LearningVisual TrackingTowards Adaptive Meta-Gradient Adversarial Examples for Visual Tracking
In recent years, visual tracking methods based on convolutional neural networks and Transformers have achieved remarkable performance and have been successfully applied in fields such as autonomous driving. However, the …
Adversarial AttackAutonomous DrivingMeta-LearningVisual TrackingDeepSORT-Driven Visual Tracking Approach for Gesture Recognition in Interactive Systems
Based on the DeepSORT algorithm, this study explores the application of visual tracking technology in intelligent human-computer interaction, especially in the field of gesture recognition and tracking. With the rapid de…
Gesture Recognitionmultimodal interactionVisual TrackingPredicting Road Surface Anomalies by Visual Tracking of a Preceding Vehicle
A novel approach to detect road surface anomalies by visual tracking of a preceding vehicle is proposed. The method is versatile, predicting any kind of road anomalies, such as potholes, bumps, debris, etc., unlike direc…
Autonomous DrivingVisual TrackingAdversarial Attack for RGB-Event based Visual Object Tracking
Visual object tracking is a crucial research topic in the fields of computer vision and multi-modal fusion. Among various approaches, robust visual tracking that combines RGB frames with Event streams has attracted incre…
Adversarial AttackObject TrackingVisual Object TrackingVisual TrackingSPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
Most state-of-the-art trackers adopt one-stream paradigm, using a single Vision Transformer for joint feature extraction and relation modeling of template and search region images. However, relation modeling between diff…
Mixture-of-Expertsparameter-efficient fine-tuningRelationVisual Object Tracking+1Towards General Multimodal Visual Tracking
Existing multimodal tracking studies focus on bi-modal scenarios such as RGB-Thermal, RGB-Event, and RGB-Language. Although promising tracking performance is achieved through leveraging complementary cues from different …
MambaVisual TrackingSimilarity-Guided Layer-Adaptive Vision Transformer for UAV Tracking
Vision transformers (ViTs) have emerged as a popular backbone for visual tracking. However, complete ViT architectures are too cumbersome to deploy for unmanned aerial vehicle (UAV) tracking which extremely emphasizes ef…
Visual TrackingTwo-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking
Efficient tracking has garnered attention for its ability to operate on resource-constrained platforms for real-world deployment beyond desktop GPUs. Current efficient trackers mainly follow precision-oriented trackers, …
CPUGPUVisual TrackingTechnical Report for ReID-SAM on SkiTB Visual Tracking Challenge 2025
This report introduces ReID-SAM, a novel model developed for the SkiTB Challenge that addresses the complexities of tracking skier appearance. Our approach integrates the SAMURAI tracker with a person re-identification (…
object-detectionObject DetectionPerson Re-IdentificationVisual TrackingCFTrack: Enhancing Lightweight Visual Tracking through Contrastive Learning and Feature Matching
Achieving both efficiency and strong discriminative ability in lightweight visual tracking is a challenge, especially on mobile and edge devices with limited computational resources. Conventional lightweight trackers oft…
Contrastive LearningVisual TrackingEnhanced Transformer-Based Tracking for Skiing Events: Overcoming Multi-Camera Challenges, Scale Variations and Rapid Motion -- SkiTB Visual Tracking Challenge 2025
Accurate skier tracking is essential for performance analysis, injury prevention, and optimizing training strategies in alpine sports. Traditional tracking methods often struggle with occlusions, dynamic movements, and v…
Visual TrackingLess is More: Token Context-aware Learning for Object Tracking
Recently, several studies have shown that utilizing contextual information to perceive target states is crucial for object tracking. They typically capture context by incorporating multiple video frames. However, these n…
Object TrackingVisual TrackingFusionSORT: Fusion Methods for Online Multi-object Visual Tracking
In this work, we investigate four different fusion methods for associating detections to tracklets in multi-object visual tracking. In addition to considering strong cues such as motion and appearance information, we als…
ObjectVisual TrackingAutoregressive Sequential Pretraining for Visual Tracking
Recent advancements in visual object tracking have shifted towards a sequential generation paradigm, where object deformation and motion exhibit strong temporal dependencies. Despite the importance of these dependenc…
ObjectObject TrackingVisual Object TrackingVisual Tracking