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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 101–125 of 339 papers

TitleStatusHype
Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationCode1
3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARsCode1
Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment AnythingCode1
Multi-Instance Pose Networks: Rethinking Top-Down Pose EstimationCode1
Fast Fourier ConvolutionCode1
MulT: An End-to-End Multitask Learning TransformerCode1
AggPose: Deep Aggregation Vision Transformer for Infant Pose EstimationCode1
TransPose: Keypoint Localization via TransformerCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose EstimationCode1
RelativeNAS: Relative Neural Architecture Search via Slow-Fast LearningCode1
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud RegistrationCode1
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud RegistrationCode1
Neural Interactive Keypoint DetectionCode1
Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware AssociationCode0
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding ModelCode0
Conditional Negative Sampling for Contrastive Learning of Visual RepresentationsCode0
GLAMpoints: Greedily Learned Accurate Match pointsCode0
Associative Embedding: End-to-End Learning for Joint Detection and GroupingCode0
PifPaf: Composite Fields for Human Pose EstimationCode0
GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative SpacecraftCode0
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud RegistrationCode0
Neural Outlier Rejection for Self-Supervised Keypoint LearningCode0
CoDeF: Content Deformation Fields for Temporally Consistent Video ProcessingCode0
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual NetworkCode0
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