Keypoint Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 9
- 보존된 평가 기록
- 83
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>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach
BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions
An Effective Image Copy-Move Forgery Detection Using Entropy Information
Keypoint-based Stereophotoclinometry for Characterizing and Navigating Small Bodies: A Factor Graph Approach
VoxelKP: A Voxel-based Network Architecture for Human Keypoint Estimation in LiDAR Data
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)
Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications
A Graph-Based Approach for Category-Agnostic Pose Estimation
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features
CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement
Video-based Sequential Bayesian Homography Estimation for Soccer Field Registration
Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised Learning
3D Pose Estimation of Tomato Peduncle Nodes using Deep Keypoint Detection and Point Cloud
TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains
X-Pose: Detecting Any Keypoints
Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching
Self-supervised Learning of Contextualized Local Visual Embeddings
RIDE: Self-Supervised Learning of Rotation-Equivariant Keypoint Detection and Invariant Description for Endoscopy
EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras
Improving the matching of deformable objects by learning to detect keypoints
A lightweight 3D dense facial landmark estimation model from position map data
Neural Interactive Keypoint Detection
ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment
DeDoDe: Detect, Don't Describe -- Describe, Don't Detect for Local Feature Matching
ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition
CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data
Nonlinear optical encoding enabled by recurrent linear scattering
KP2Dtiny: Quantized Neural Keypoint Detection and Description on the Edge
SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation
Detector-Free Structure from Motion
CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.