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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 301–339 of 339 papers

TitleStatusHype
Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distributionCode0
Towards Deep Learning based Hand Keypoints Detection for Rapid Sequential Movements from RGB Images—0
Pose2Seg: Detection Free Human Instance SegmentationCode0
StarMap for Category-Agnostic Keypoint and Viewpoint EstimationCode0
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding ModelCode0
End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching—0
Data Distillation: Towards Omni-Supervised LearningCode0
Non-local Neural NetworksCode1
Cascaded Pyramid Network for Multi-Person Pose EstimationCode1
AI Challenger : A Large-scale Dataset for Going Deeper in Image UnderstandingCode0
Disguised Face Identification (DFI) with Facial KeyPoints using Spatial Fusion Convolutional Network—0
Deep Alignment Network: A convolutional neural network for robust face alignmentCode0
Generative Partition Networks for Multi-Person Pose EstimationCode1
Hand Keypoint Detection in Single Images using Multiview BootstrappingCode0
Interspecies Knowledge Transfer for Facial Keypoint DetectionCode0
A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection—0
Mask R-CNNCode1
6-DoF Object Pose from Semantic KeypointsCode0
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors—0
Towards Accurate Multi-person Pose Estimation in the Wild—0
A Fast Keypoint Based Hybrid Method for Copy Move Forgery Detection—0
ArtTrack: Articulated Multi-person Tracking in the WildCode0
RMPE: Regional Multi-person Pose EstimationCode3
Realtime Multi-Person 2D Pose Estimation using Part Affinity FieldsCode3
Associative Embedding: End-to-End Learning for Joint Detection and GroupingCode0
UMDFaces: An Annotated Face Dataset for Training Deep Networks—0
Multi-Person Pose Estimation with Local Joint-to-Person AssociationsCode0
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation ModelCode0
3D Keypoint Detection Based on Deep Neural Network with Sparse Autoencoder—0
Cluster-Based Point Set Saliency—0
On the Visibility of Point Clouds—0
Learning a Descriptor-Specific 3D Keypoint Detector—0
An analysis of the factors affecting keypoint stability in scale-space—0
Unsupervised learning of object semantic parts from internal states of CNNs by population encodingCode0
Keypoint Encoding for Improved Feature Extraction from Compressed Video at Low Bitrates—0
Fast keypoint detection in video sequences—0
Viewpoints and Keypoints—0
Do Convnets Learn Correspondence?—0
HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition—0
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