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Keypoint Detection

Keypoint Detection is essential for analyzing and interpreting images in computer vision. It involves simultaneously detecting and localizing interesting points in an image. Keypoints, also known as interest points, are spatial locations or points in the image that define what is interesting or what stands out. They are invariant to image rotation, shrinkage, translation, distortion, etc. Keypoints examples are body joints, facial landmarks, or any other salient points in objects. Keypoints have uses in problems such as pose estimation, object detection and tracking, facial analysis, and augmented reality.

( Image credit: PifPaf: Composite Fields for Human Pose Estimation; "Learning to surf" by fotologic, license: CC-BY-2.0 )

Papers

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Showing 301–325 of 339 papers

TitleStatusHype
Self-Supervised Keypoint Detection with Distilled Depth Keypoint Representation—0
Semantic Image Attack for Visual Model Diagnosis—0
Semi-supervised Dense Keypoints Using Unlabeled Multiview Images—0
Semi-supervised Keypoint Localization—0
SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving—0
ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty—0
SHIC: Shape-Image Correspondences with no Keypoint Supervision—0
SiLK: Simple Learned Keypoints—0
Silver medal Solution for Image Matching Challenge 2024—0
Sim2Real Object-Centric Keypoint Detection and Description—0
SKD: Keypoint Detection for Point Clouds using Saliency Estimation—0
SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformers—0
SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras—0
SKT: Integrating State-Aware Keypoint Trajectories with Vision-Language Models for Robotic Garment Manipulation—0
Stereophotoclinometry Revisited—0
SuperEvent: Cross-Modal Learning of Event-based Keypoint Detection—0
Can Super Resolution be used to improve Human Pose Estimation in Low Resolution Scenarios?—0
Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images—0
TFS Recognition: Investigating MPH]Thai Finger Spelling Recognition: Investigating MediaPipe Hands Potentials—0
Towards Accurate Multi-person Pose Estimation in the Wild—0
Towards Deep Learning based Hand Keypoints Detection for Rapid Sequential Movements from RGB Images—0
Transfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images—0
Translating a Visual LEGO Manual to a Machine-Executable Plan—0
UKDM: Underwater keypoint detection and matching using underwater image enhancement techniques—0
UMDFaces: An Annotated Face Dataset for Training Deep Networks—0
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