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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 276–300 of 339 papers

TitleStatusHype
A Comparison of CNN and Classic Features for Image Retrieval—0
Single-Stage Multi-Person Pose MachinesCode0
GLAMpoints: Greedily Learned Accurate Match pointsCode0
Self-supervised Learning of Interpretable Keypoints from Unlabelled Videos—0
R2D2: Repeatable and Reliable Detector and DescriptorCode1
RF-Net: An End-to-End Image Matching Network based on Receptive FieldCode0
Orthogonal Decomposition Network for Pixel-Wise Binary Classification—0
Monocular 3D Object Detection via Geometric Reasoning on Keypoints—0
Objects as PointsCode2
Key.Net: Keypoint Detection by Handcrafted and Learned CNN FiltersCode1
KPTransfer: improved performance and faster convergence from keypoint subset-wise domain transfer in human pose estimation—0
PifPaf: Composite Fields for Human Pose EstimationCode0
Deep High-Resolution Representation Learning for Human Pose EstimationCode1
Rethinking on Multi-Stage Networks for Human Pose EstimationCode1
Slimmable Neural NetworksCode1
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity FieldsCode2
PoseFix: Model-agnostic General Human Pose Refinement NetworkCode0
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkCode0
Multiview Supervision By RegistrationCode0
Blur-Countering Keypoint Detection via Eigenvalue Asymmetry—0
Multi-Scale Supervised Network for Human Pose Estimation—0
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual NetworkCode0
MONET: Multiview Semi-supervised Keypoint Detection via Epipolar DivergenceCode0
Learning to Refine Human Pose Estimation—0
Simple Baselines for Human Pose Estimation and TrackingCode1
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