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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 151–175 of 339 papers

TitleStatusHype
Silver medal Solution for Image Matching Challenge 2024—0
From Web Data to Real Fields: Low-Cost Unsupervised Domain Adaptation for Agricultural Robots—0
Facial Chick Sexing: An Automated Chick Sexing System From Chick Facial Image—0
Unsupervised Model Diagnosis—0
Self-Supervised Keypoint Detection with Distilled Depth Keypoint Representation—0
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features—0
SKT: Integrating State-Aware Keypoint Trajectories with Vision-Language Models for Robotic Garment Manipulation—0
Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia FeedingCode0
D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detection—0
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods—0
SHIC: Shape-Image Correspondences with no Keypoint Supervision—0
RADA: Robust and Accurate Feature Learning with Domain Adaptation—0
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images—0
SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformers—0
Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion—0
A Self-supervised Pressure Map human keypoint Detection Approch: Optimizing Generalization and Computational Efficiency Across Datasets—0
3D Kinematics Estimation from Video with a Biomechanical Model and Synthetic Training Data—0
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detectionCode0
SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras—0
FC-GNN: Recovering Reliable and Accurate Correspondences from InterferencesCode0
BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions—0
An Effective Image Copy-Move Forgery Detection Using Entropy InformationCode0
Keypoint-based Stereophotoclinometry for Characterizing and Navigating Small Bodies: A Factor Graph ApproachCode0
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)Code0
Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications—0
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