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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 276–300 of 339 papers

TitleStatusHype
RF-Net: An End-to-End Image Matching Network based on Receptive FieldCode0
Dynamic Convolution: Attention over Convolution KernelsCode0
CoDeF: Content Deformation Fields for Temporally Consistent Video ProcessingCode0
Towards High Performance One-Stage Human Pose EstimationCode0
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)Code0
Neural Outlier Rejection for Self-Supervised Keypoint LearningCode0
Multiview Supervision By RegistrationCode0
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual NetworkCode0
Distribution-Aware Coordinate Representation for Human Pose EstimationCode0
Simple and Lightweight Human Pose EstimationCode0
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic ModelCode0
Multi-Person Pose Estimation with Local Joint-to-Person AssociationsCode0
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation ModelCode0
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding ModelCode0
PifPaf: Composite Fields for Human Pose EstimationCode0
MONET: Multiview Semi-supervised Keypoint Detection via Epipolar DivergenceCode0
Pose2Seg: Detection Free Human Instance SegmentationCode0
MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint LearningCode0
PoseFix: Model-agnostic General Human Pose Refinement NetworkCode0
Pose Neural Fabrics SearchCode0
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint DetectionCode0
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description ExtractionCode0
Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB ImagesCode0
Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia FeedingCode0
Single-Stage Multi-Person Pose MachinesCode0
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