Keypoint Detection
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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.
<span style="color:grey; opacity: 0.6">( Image credit: PifPaf: Composite Fields for Human Pose Estimation; "Learning to surf" by fotologic, license: CC-BY-2.0 )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/leeiieeo/ag-pose
공식 코드Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation
https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
공식 코드Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/leoxiaobin/pose.pytorch
공식 코드https://github.com/linyicheng1/orb_slam3_localization
공식 코드https://github.com/liruilong940607/OCHumanApi
공식 코드https://github.com/liruilong940607/Pose2Seg
공식 코드https://github.com/lkeab/gsnet
공식 코드GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision
https://github.com/lojol2327/DiffuPose
공식 코드DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model
https://github.com/m3dv/pulmonary-tree-repairing
공식 코드Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset
https://github.com/mahdi-slh/Graphite
공식 코드Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
https://github.com/matanr/capex
공식 코드CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
https://github.com/megvii-detection/MSPN
공식 코드Rethinking on Multi-Stage Networks for Human Pose Estimation
https://github.com/menoRashid/animal_human_kp
공식 코드Interspecies Knowledge Transfer for Facial Keypoint Detection
https://github.com/minhaolee/2d3dmatr
공식 코드https://github.com/minnjung/ep2p-loc
공식 코드EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization
https://github.com/mks0601/PoseFix_RELEASE
공식 코드PoseFix: Model-agnostic General Human Pose Refinement Network
https://github.com/mlpc-ucsd/PRTR
공식 코드https://github.com/msbrpp/MSBR
공식 코드https://github.com/nerminsamet/HPRNet
공식 코드HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation
https://github.com/nerminsamet/houghnet
공식 코드HoughNet: Integrating near and long-range evidence for visual detection
https://github.com/nilakshdas/skelevision
공식 코드SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning
https://github.com/npupilab/curriculumloc
공식 코드CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement
https://github.com/nvlabs/conformalkeypoint
공식 코드https://github.com/orhir/EdgeCape
공식 코드Edge Weight Prediction For Category-Agnostic Pose Estimation
https://github.com/orhir/PoseAnything
공식 코드A Graph-Based Approach for Category-Agnostic Pose Estimation
https://github.com/parskatt/dad
공식 코드DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection
https://github.com/parskatt/dedode
공식 코드DeDoDe: Detect, Don't Describe -- Describe, Don't Detect for Local Feature Matching
https://github.com/paulkie99/keypointannotator
공식 코드Video-based Sequential Bayesian Homography Estimation for Soccer Field Registration
https://github.com/peabody124/posepipeline
공식 코드PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical Research
https://github.com/prinik/awa-pose
공식 코드A Novel Dataset for Keypoint Detection of quadruped Animals from Images
https://github.com/qiuyu96/codef
공식 코드CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
https://github.com/qq456cvb/UKPGAN
공식 코드https://github.com/rawalkhirodkar/MIPNet
공식 코드Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation
https://github.com/sair-lab/SeqACE
공식 코드Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential Information
https://github.com/shijianjian/voxelkp
공식 코드VoxelKP: A Voxel-based Network Architecture for Human Keypoint Estimation in LiDAR Data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.