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Facial Landmark Detection
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Facial Landmark Detection is a computer vision task that involves detecting and localizing specific points or landmarks on a face, such as the eyes, nose, mouth, and chin. The goal is to accurately identify these landmarks in images or videos of faces in real-time and use them for various applications, such as face recognition, facial expression analysis, and head pose estimation.
<span style="color:grey; opacity: 0.6">( Image credit: Style Aggregated Network for Facial Landmark Detection )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Unsupervised Image Representation Learning with Deep Latent Particles
AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
Revisiting Facial Key Point Detection: An Efficient Approach Using Deep Neural Networks
ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment
Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network
GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation
Benchmarking Shadow Removal for Facial Landmark Detection and Beyond
Quantum-Assisted Support Vector Regression
Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition
DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis
Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation
When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model
Unsupervised Part Segmentation through Disentangling Appearance and Shape
Few-Shot Model Adaptation for Customized Facial Landmark Detection, Segmentation, Stylization and Shadow Removal
CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA
Pre-training strategies and datasets for facial representation learning
LatentKeypointGAN: Controlling Images via Latent Keypoints
Modeling the Nonsmoothness of Modern Neural Networks
Fast Facial Landmark Detection and Applications: A Survey
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
Teacher-Student Asynchronous Learning with Multi-Source Consistency for Facial Landmark Detection
Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks
Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network
Deep Structured Prediction for Facial Landmark Detection
Gaussian Vector: An Efficient Solution for Facial Landmark Detection
The Blessing and the Curse of the Noise behind Facial Landmark Annotations
Whole-Body Human Pose Estimation in the Wild
AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
Multi-spectral Facial Landmark Detection
A Detailed Look At CNN-based Approaches In Facial Landmark Detection
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
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