Face recognition and analysis -- 专题文献

专题：Face recognition and analysis

This cluster of papers focuses on various techniques for face recognition and analysis, including deep learning approaches, facial landmark detection, age estimation, 3D face reconstruction, facial expression analysis, and pose estimation. The papers cover topics such as metric learning, feature learning, and the application of convolutional neural networks to address challenges in face recognition.

专题：Face recognition and analysis

最新文献

Intelligent Model for Detecting GAN-Generated Images Based on Multi-Classifier and Advanced Data Mining Techniques

Machine Learning–Based Classification Framework for Human Health Care Monitoring

LHM: Large Animatable Human Reconstruction Model for Single Image to 3D in Seconds

EFFECTIVE DETECTION OF DOWN SYNDROME FROM FACIAL EXPRESSIONS USING DEEP LEARNING PREDICTIVE MODELS

Deepfake Generation and Detection: A Benchmark and Survey

Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method With Forgery Style Mixture

A survey on deep learning for 2D and 3D human pose estimation

A Perception CNN for Facial Expression Recognition

AffectNet+: A Database for Enhancing Facial Expression Recognition With Soft-Labels

Assessment of monocular human pose estimation models for clinical movement analysis

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