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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 76–100 of 339 papers

TitleStatusHype
Nonlinear optical encoding enabled by recurrent linear scatteringCode1
Generative Partition Networks for Multi-Person Pose EstimationCode1
Dense Interspecies Face EmbeddingCode1
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor ExtractionCode1
Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationCode1
DexYCB: A Benchmark for Capturing Hand Grasping of ObjectsCode1
Greedy Offset-Guided Keypoint Grouping for Human Pose EstimationCode1
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point CloudsCode1
Multi-Grained Contrast for Data-Efficient Unsupervised Representation LearningCode1
Bottom-Up Human Pose Estimation Via Disentangled Keypoint RegressionCode1
Auto Learning AttentionCode1
Fast Fourier ConvolutionCode1
HPRNet: Hierarchical Point Regression for Whole-Body Human Pose EstimationCode1
CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage RefinementCode1
AggPose: Deep Aggregation Vision Transformer for Infant Pose EstimationCode1
Edge Weight Prediction For Category-Agnostic Pose EstimationCode1
EEEA-Net: An Early Exit Evolutionary Neural Architecture SearchCode1
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Accelerated Neuroevolution with Weight TransferCode1
Improving Convolutional Networks With Self-Calibrated ConvolutionsCode1
Center Direction Network for Grasping Point Localization on ClothsCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
Centroid Distance Keypoint Detector for Colored Point CloudsCode1
End-to-End Trainable Multi-Instance Pose Estimation with TransformersCode1
EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual LocalizationCode1
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast DescriptorCode1
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