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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 1–25 of 339 papers

TitleStatusHype
KptLLM++: Towards Generic Keypoint Comprehension with Large Language Model—0
GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative SpacecraftCode0
FPC-Net: Revisiting SuperPoint with Descriptor-Free Keypoint Detection via Feature Pyramids and Consistency-Based Implicit Matching—0
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection—0
Reading a Ruler in the Wild—0
MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint LearningCode0
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor LearningCode1
Why Not Replace? Sustaining Long-Term Visual Localization via Handcrafted-Learned Feature Collaboration on CPUCode1
SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving—0
Keypoints as Dynamic Centroids for Unified Human Pose and Segmentation—0
RDD: Robust Feature Detector and Descriptor using Deformable Transformer—0
Enabling Privacy-Aware AI-Based Ergonomic Analysis—0
My Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing—0
Unsupervised Deep Learning-based Keypoint Localization Estimating Descriptor Matching Performance—0
Unsupervised training of keypoint-agnostic descriptors for flexible retinal image registration—0
Learning a General Model: Folding Clothing with Topological Dynamics—0
EdgePoint2: Compact Descriptors for Superior Efficiency and Accuracy—0
UKDM: Underwater keypoint detection and matching using underwater image enhancement techniques—0
Stereophotoclinometry Revisited—0
SuperEvent: Cross-Modal Learning of Event-based Keypoint Detection—0
Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines—0
Keypoint Detection and Description for Raw Bayer Images—0
DaD: Distilled Reinforcement Learning for Diverse Keypoint DetectionCode2
REF-VLM: Triplet-Based Referring Paradigm for Unified Visual DecodingCode1
Spatial regularisation for improved accuracy and interpretability in keypoint-based registrationCode0
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