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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
Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware AssociationCode0
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual NetworkCode0
GLAMpoints: Greedily Learned Accurate Match pointsCode0
Data Distillation: Towards Omni-Supervised LearningCode0
Self-supervised Learning of Contextualized Local Visual EmbeddingsCode0
Unsupervised learning of object semantic parts from internal states of CNNs by population encodingCode0
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud RegistrationCode0
Semi-supervised Human Pose Estimation in Art-historical ImagesCode0
DDM-NET: End-to-end learning of keypoint feature Detection, Description and Matching for 3D localizationCode0
LatentKeypointGAN: Controlling Images via Latent KeypointsCode0
Keypoint-based Stereophotoclinometry for Characterizing and Navigating Small Bodies: A Factor Graph ApproachCode0
Pose2Seg: Detection Free Human Instance SegmentationCode0
PifPaf: Composite Fields for Human Pose EstimationCode0
Hand Keypoint Detection in Single Images using Multiview BootstrappingCode0
Learning Spatial Context with Graph Neural Network for Multi-Person Pose GroupingCode0
Conditional Negative Sampling for Contrastive Learning of Visual RepresentationsCode0
Multi-Person Pose Estimation with Local Joint-to-Person AssociationsCode0
Simple and Lightweight Human Pose EstimationCode0
Deep Alignment Network: A convolutional neural network for robust face alignmentCode0
Video-based Sequential Bayesian Homography Estimation for Soccer Field RegistrationCode0
Single-Stage Multi-Person Pose MachinesCode0
Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB ImagesCode0
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task LearningCode0
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic ModelCode0
ViewSynth: Learning Local Features from Depth using View SynthesisCode0
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