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>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling
A Unified Sequence Interface for Vision Tasks
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields
SNAKE: Shape-aware Neural 3D Keypoint Field
MulT: An End-to-End Multitask Learning Transformer
Learning Keypoints from Synthetic Data for Robotic Cloth Folding
AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation
GRIT: General Robust Image Task Benchmark
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
2D Human Pose Estimation: A Survey
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning
PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical Research
Weakly Supervised Learning of Keypoints for 6D Object Pose Estimation
Motion-Aware Transformer For Occluded Person Re-identification
Sim2Real Object-Centric Keypoint Detection and Description
Poseur: Direct Human Pose Regression with Transformers
TFS Recognition: Investigating MPH]{Thai Finger Spelling Recognition: Investigating MediaPipe Hands Potentials
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-Modal Retinal Image Registration
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction
Improved 2D Keypoint Detection in Out-of-Balance and Fall Situations -- combining input rotations and a kinematic model
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor
Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species
Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction
Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association
Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images
Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration
BPFNet: A Unified Framework for Bimodal Palmprint Alignment and Fusion
Keypoint Communities
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
Semi-supervised Dense Keypoints Using Unlabeled Multiview Images
A Novel Dataset for Keypoint Detection of quadruped Animals from Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.