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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 251–275 of 339 papers

TitleStatusHype
GoodPoint: unsupervised learning of keypoint detection and descriptionCode1
On Mutual Information in Contrastive Learning for Visual Representations—0
Learning Local Features with Context Aggregation for Visual Localization—0
Learning Human-Object Interaction Detection using Interaction PointsCode1
Multi-Person Pose Estimation with Enhanced Feature Aggregation and Selection—0
High Accuracy Face Geometry Capture using a Smartphone Video—0
Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: Distribution-Aware Coordinate Representation for Human Pose Estimation—0
Learning Delicate Local Representations for Multi-Person Pose EstimationCode1
Towards High Performance Human Keypoint DetectionCode1
UR2KiD: Unifying Retrieval, Keypoint Detection, and Keypoint Description without Local Correspondence Supervision—0
Neural Outlier Rejection for Self-Supervised Keypoint LearningCode0
SKD: Keypoint Detection for Point Clouds using Saliency Estimation—0
Dynamic Convolution: Attention over Convolution KernelsCode0
Self-Supervised 3D Keypoint Learning for Ego-motion EstimationCode0
R2D2: Reliable and Repeatable Detector and DescriptorCode0
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose EstimationCode1
Simple and Lightweight Human Pose EstimationCode0
ViewSynth: Learning Local Features from Depth using View SynthesisCode0
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose EstimationCode1
Human Keypoint Detection by Progressive Context RefinementCode0
Distribution-Aware Coordinate Representation for Human Pose EstimationCode0
kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion—0
Pose Neural Fabrics SearchCode0
Learning Enhanced Resolution-wise features for Human Pose Estimation—0
Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila—0
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