Facial Feature Recognition with Multi-task Learning and Attention-based Enhancements
Facial feature recognition (FFR) has witnessed a remarkable surge in recent years, driven by its extensive applications in identity recognition, security, and intelligent imaging. The UTKFace dataset plays a pivotal role in advancing FFR by providing a rich dataset of facial images with accurate age...
Saved in:
| Main Authors: | M. Rohani, H. Farsi, S. Mohamadzadeh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Babol Noshirvani University of Technology
2025-01-01
|
| Series: | Iranica Journal of Energy and Environment |
| Subjects: | |
| Online Access: | https://www.ijee.net/article_193778_e1259ed3fc391a5d0e79fc9e83537058.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Explainable deep learning for age and gender estimation in dental CBCT scans using attention mechanisms and multi task learning
by: Najmeh Pishghadam, et al.
Published: (2025-05-01) -
Hierarchical Multi-Task Learning Based on Interactive Multi-Head Attention Feature Fusion for Speech Depression Recognition
by: Yujuan Xing, et al.
Published: (2025-01-01) -
MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition
by: S. Raghavendra, et al.
Published: (2025-02-01) -
Multi-Task Spiking Neural Network for Simultaneous Vapor Recognition and Concentration Estimation
by: Pedro Sartori Locatelli, et al.
Published: (2025-01-01) -
MTAGCN: Multi-Task Graph-Guided Convolutional Network with Attention Mechanism for Intelligent Fault Diagnosis of Rotating Machinery
by: Bo Wang, et al.
Published: (2025-04-01)