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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 176–200 of 339 papers

TitleStatusHype
Human Keypoint Detection by Progressive Context RefinementCode0
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint DetectionCode0
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding ModelCode0
Spatial regularisation for improved accuracy and interpretability in keypoint-based registrationCode0
StarMap for Category-Agnostic Keypoint and Viewpoint EstimationCode0
ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models—0
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods—0
2D Human Pose Estimation: A Survey—0
3D Keypoint Detection Based on Deep Neural Network with Sparse Autoencoder—0
3D Kinematics Estimation from Video with a Biomechanical Model and Synthetic Training Data—0
3D Pose Estimation of Tomato Peduncle Nodes using Deep Keypoint Detection and Point Cloud—0
A Comparison of CNN and Classic Features for Image Retrieval—0
A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection—0
A Correct-and-Certify Approach to Self-Supervise Object Pose Estimators via Ensemble Self-Training—0
Adversarial Focal Loss: Asking Your Discriminator for Hard Examples—0
A Fast Keypoint Based Hybrid Method for Copy Move Forgery Detection—0
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-Modal Retinal Image Registration—0
A Low Rank Promoting Prior for Unsupervised Contrastive Learning—0
An analysis of the factors affecting keypoint stability in scale-space—0
A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection—0
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images—0
A Self-supervised Pressure Map human keypoint Detection Approch: Optimizing Generalization and Computational Efficiency Across Datasets—0
A Unified Sequence Interface for Vision Tasks—0
Automatic Temporal Segmentation for Post-Stroke Rehabilitation: A Keypoint Detection and Temporal Segmentation Approach for Small Datasets—0
BALF: Simple and Efficient Blur Aware Local Feature Detector—0
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