Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
SwinTrack: A Simple and Strong Baseline for Transformer Tracking
Recently Transformer has been largely explored in tracking and shown state-of-the-art (SOTA) performance. However, existing efforts mainly focus on fusing and enhancing features generated by convolutional neural networks…
Representation LearningVisual Object TrackingVisual TrackingLearning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking
Recently, template-based trackers have become the leading tracking algorithms with promising performance in terms of efficiency and accuracy. However, the correlation operation between query feature and the given templat…
Object TrackingSegmentationState EstimationVisual Object Tracking+13D Visual Tracking Framework with Deep Learning for Asteroid Exploration
3D visual tracking is significant to deep space exploration programs, which can guarantee spacecraft to flexibly approach the target. In this paper, we focus on the studied accurate and real-time method for 3D tracking. …
Deep LearningVisual TrackingLearning Online for Unified Segmentation and Tracking Models
Tracking requires building a discriminative model for the target in the inference stage. An effective way to achieve this is online learning, which can comfortably outperform models that are only trained offline. Recent …
Meta-LearningVisual TrackingCross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark
In many visual systems, visual tracking often bases on RGB image sequences, in which some targets are invalid in low-light conditions, and tracking performance is thus affected significantly. Introducing other modalities…
Object TrackingVisual TrackingExplicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking
Visual object tracking performance has been dramatically improved in recent years, but some severe challenges remain open, like distractors and occlusions. We suspect the reason is that the feature representations of the…
Contrastive LearningObject TrackingVisual Object TrackingVisual TrackingTAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization
Holistic object representation-based trackers suffer from performance drop under large appearance change such as deformation and occlusion. In this work, we propose a dynamic part-based tracker and constantly update the …
ObjectVisual TrackingRPT++: Customized Feature Representation for Siamese Visual Tracking
While recent years have witnessed remarkable progress in the feature representation of visual tracking, the problem of feature misalignment between the classification and regression tasks is largely overlooked. The appro…
ClassificationState EstimationVisual TrackingSIN:Superpixel Interpolation Network
Superpixels have been widely used in computer vision tasks due to their representational and computational efficiency. Meanwhile, deep learning and end-to-end framework have made great progress in various fields includin…
Computational EfficiencySuperpixelsVisual TrackingActive Learning for Deep Visual Tracking
Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous labeled training samples, and the number and …
Active LearningDiversityVisual TrackingIs First Person Vision Challenging for Object Tracking?
Understanding human-object interactions is fundamental in First Person Vision (FPV). Tracking algorithms which follow the objects manipulated by the camera wearer can provide useful cues to effectively model such interac…
Human-Object Interaction DetectionObjectObject TrackingVisual TrackingOcclusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery
Conventional computer-assisted orthopaedic navigation systems rely on the tracking of dedicated optical markers for patient poses, which makes the surgical workflow more invasive, tedious, and expensive. Visual tracking …
AnatomyPoint Cloud SegmentationVisual TrackingDeep Learning-based Spacecraft Relative Navigation Methods: A Survey
Autonomous spacecraft relative navigation technology has been planned for and applied to many famous space missions. The development of on-board electronics systems has enabled the use of vision-based and LiDAR-based met…
Deep LearningSurveyVisual TrackingSemantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
This paper investigates the problem of reconstructing hyperspectral (HS) images from single RGB images captured by commercial cameras, \textbf{without} using paired HS and RGB images during training. To tackle this chall…
Image ReconstructionSpectral ReconstructionVisual TrackingVideo Annotation for Visual Tracking via Selection and Refinement
Deep learning based visual trackers entail offline pre-training on large volumes of video datasets with accurate bounding box annotations that are labor-expensive to achieve. We present a new framework to facilitate boun…
Visual TrackingLearn to Match: Automatic Matching Network Design for Visual Tracking
Siamese tracking has achieved groundbreaking performance in recent years, where the essence is the efficient matching operator cross-correlation and its variants. Besides the remarkable success, it is important to note t…
Visual TrackingBundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
Tracking the 6D pose of objects in video sequences is important for robot manipulation. Most prior efforts, however, often assume that the target object's CAD model, at least at a category-level, is available for offline…
3D Object Tracking6D Pose Estimation6D Pose Estimation using RGB6D Pose Estimation using RGBD+7Learning to Adversarially Blur Visual Object Tracking
Motion blur caused by the moving of the object or camera during the exposure can be a key challenge for visual object tracking, affecting tracking accuracy significantly. In this work, we explore the robustness of visual…
ObjectObject TrackingVisual Object TrackingVisual TrackingDeep Convolutional Correlation Iterative Particle Filter for Visual Tracking
This work proposes a novel framework for visual tracking based on the integration of an iterative particle filter, a deep convolutional neural network, and a correlation filter. The iterative particle filter enables the …
ClusteringPositionVisual TrackingDo Different Tracking Tasks Require Different Appearance Models?
Tracking objects of interest in a video is one of the most popular and widely applicable problems in computer vision. However, with the years, a Cambrian explosion of use cases and benchmarks has fragmented the problem i…
Multi-Object TrackingMulti-Object Tracking and SegmentationMultiple People TrackingObject Tracking+10