Papers Keypoint Detection
“Keypoint Detection” 태그가 달린 논문 391편 · 필터 해제
SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving
Online scene perception and topology reasoning are critical for autonomous vehicles to understand their driving environments, particularly for mapless driving systems that endeavor to reduce reliance on costly High-Defin…
Autonomous DrivingAutonomous VehiclesKeypoint DetectionScene UnderstandingKeypoints as Dynamic Centroids for Unified Human Pose and Segmentation
The dynamic movement of the human body presents a fundamental challenge for human pose estimation and body segmentation. State-of-the-art approaches primarily rely on combining keypoint heatmaps with segmentation masks b…
Keypoint DetectionPose EstimationSegmentationEnabling Privacy-Aware AI-Based Ergonomic Analysis
Musculoskeletal disorders (MSDs) are a leading cause of injury and productivity loss in the manufacturing industry, incurring substantial economic costs. Ergonomic assessments can mitigate these risks by identifying work…
Keypoint DetectionPose EstimationRDD: Robust Feature Detector and Descriptor using Deformable Transformer
As a core step in structure-from-motion and SLAM, robust feature detection and description under challenging scenarios such as significant viewpoint changes remain unresolved despite their ubiquity. While recent works ha…
3D ReconstructionKeypoint DetectionMy Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing
Generative Adversarial Network approaches such as StyleGAN/2 provide two key benefits: the ability to generate photo-realistic face images and possessing a semantically structured latent space from which these images are…
Data AugmentationGenerative Adversarial NetworkKeypoint DetectionUnsupervised training of keypoint-agnostic descriptors for flexible retinal image registration
Current color fundus image registration approaches are limited, among other things, by the lack of labeled data, which is even more significant in the medical domain, motivating the use of unsupervised learning. Therefor…
Image RegistrationKeypoint DetectionUnsupervised Deep Learning-based Keypoint Localization Estimating Descriptor Matching Performance
Retinal image registration, particularly for color fundus images, is a challenging yet essential task with diverse clinical applications. Existing registration methods for color fundus images typically rely on keypoints …
Deep LearningImage RegistrationKeypoint DetectionLearning a General Model: Folding Clothing with Topological Dynamics
The high degrees of freedom and complex structure of garments present significant challenges for clothing manipulation. In this paper, we propose a general topological dynamics model to fold complex clothing. By utilizin…
Graph Neural NetworkKeypoint DetectionSemantic SegmentationEdgePoint2: Compact Descriptors for Superior Efficiency and Accuracy
The field of keypoint extraction, which is essential for vision applications like Structure from Motion (SfM) and Simultaneous Localization and Mapping (SLAM), has evolved from relying on handcrafted methods to leveragin…
Edge-computingKeypoint DetectionSimultaneous Localization and MappingUKDM: Underwater keypoint detection and matching using underwater image enhancement techniques
The purpose of this paper is to explore the use of underwater image enhancement techniques to improve keypoint detection and matching. By applying advanced deep learning models, including generative adversarial networks …
Image EnhancementKeypoint DetectionStereophotoclinometry Revisited
Image-based surface reconstruction and characterization is crucial for missions to small celestial bodies, as it informs mission planning, navigation, and scientific analysis. However, current state-of-the-practice metho…
Keypoint DetectionSurface ReconstructionSuperEvent: Cross-Modal Learning of Event-based Keypoint Detection
Event-based keypoint detection and matching holds significant potential, enabling the integration of event sensors into highly optimized Visual SLAM systems developed for frame cameras over decades of research. Unfortuna…
Keypoint DetectionMultiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines
Feature Coding for Machines (FCM) aims to compress intermediate features effectively for remote intelligent analytics, which is crucial for future intelligent visual applications. In this paper, we propose a Multiscale F…
Feature ImportanceImage CompressionInstance SegmentationKeypoint Detection+1Keypoint Detection and Description for Raw Bayer Images
Keypoint detection and local feature description are fundamental tasks in robotic perception, critical for applications such as SLAM, robot localization, feature matching, pose estimation, and 3D mapping. While existing …
Keypoint DetectionPose EstimationREF-VLM: Triplet-Based Referring Paradigm for Unified Visual Decoding
Multimodal Large Language Models (MLLMs) demonstrate robust zero-shot capabilities across diverse vision-language tasks after training on mega-scale datasets. However, dense prediction tasks, such as semantic segmentatio…
Instruction FollowingKeypoint DetectionMulti-Task LearningRepresentation Learning+2DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection
Keypoints are what enable Structure-from-Motion (SfM) systems to scale to thousands of images. However, designing a keypoint detection objective is a non-trivial task, as SfM is non-differentiable. Typically, an auxiliar…
Keypoint Detectionreinforcement-learningReinforcement LearningSpatial regularisation for improved accuracy and interpretability in keypoint-based registration
Unsupervised registration strategies bypass requirements in ground truth transforms or segmentations by optimising similarity metrics between fixed and moved volumes. Among these methods, a recent subclass of approaches …
Keypoint DetectionPeriodontal Bone Loss Analysis via Keypoint Detection With Heuristic Post-Processing
Calculating percentage bone loss is a critical test for periodontal disease staging but is sometimes imprecise and time consuming when manually calculated. This study evaluates the application of a deep learning keypoint…
Instance SegmentationKeypoint Detectionobject-detectionObject Detection+1A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection
Registration of diffusion MRI tractography is an essential step for analyzing group similarities and variations in the brain's white matter (WM). Streamline-based registration approaches can leverage the 3D geometric inf…
Diffusion MRIKeypoint DetectionCNSv2: Probabilistic Correspondence Encoded Neural Image Servo
Visual servo based on traditional image matching methods often requires accurate keypoint correspondence for high precision control. However, keypoint detection or matching tends to fail in challenging scenarios with inc…
Keypoint Detection