Cover Image

Exploring the Feasibility of Deep Learning Techniques for Accurate Gender Classification from Eye Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hasan, Basna Mohammed Salih, Mstafa, Ramadhan J.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Study of Gender Classification Techniques Based on Iris Images: A Deep Survey and Analysis
by: Hasan, Basna Mohammed Salih, et al.
Published: (2025)

Curvelet-Based Frequency-Aware Feature Enhancement for Deepfake Detection
by: Sabri, Salar Adel, et al.
Published: (2026)

Skin Cancer Images Classification using Transfer Learning Techniques
by: Islam, Md Sirajul, et al.
Published: (2024)

Explainable Deep Radiogenomic Molecular Imaging for MGMT Methylation Prediction in Glioblastoma
by: Jamil, Hasan M
Published: (2026)

Large-Scale Evaluation of Open-Set Image Classification Techniques
by: Bisgin, Halil, et al.
Published: (2024)

A neurosymbolic Approach with Epistemic Deep Learning for Hierarchical Image Classification
by: Kilicdere, Ezel, et al.
Published: (2026)

SugarcaneNet: An Optimized Ensemble of LASSO-Regularized Pre-trained Models for Accurate Disease Classification
by: Talukder, Md. Simul Hasan, et al.
Published: (2024)

ChartEye: A Deep Learning Framework for Chart Information Extraction
by: Mustafa, Osama, et al.
Published: (2024)

Are Bias Mitigation Techniques for Deep Learning Effective?
by: Shrestha, Robik, et al.
Published: (2021)

Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification
by: Satriani, Nathanya, et al.
Published: (2026)

Novel Deep Learning Architectures for Classification and Segmentation of Brain Tumors from MRI Images
by: Das, Sayan, et al.
Published: (2025)

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation
by: Biswas, Koushik, et al.
Published: (2024)

Constraint-Aware Neurosymbolic Uncertainty Quantification with Bayesian Deep Learning for Scientific Discovery
by: Alam, Shahnawaz, et al.
Published: (2026)

Label Semantics for Robust Hyperspectral Image Classification
by: Hassan, Rafin, et al.
Published: (2025)

Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging
by: Khan, Mohammed Abdul Hafeez, et al.
Published: (2025)

IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification
by: Brahmavar, Shreyas Bhat, et al.
Published: (2023)

Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
by: Łapacz, Wojciech, et al.
Published: (2024)

Leveraging Text Guidance for Enhancing Demographic Fairness in Gender Classification
by: Krishnan, Anoop
Published: (2025)

Diabetic Retinopathy Classification using Downscaling Algorithms and Deep Learning
by: Doshi, Nishi, et al.
Published: (2026)

Evidential Federated Learning for Skin Lesion Image Classification
by: Hendrix, Rutger, et al.
Published: (2024)

Analysis of Hyperparameter Optimization Effects on Lightweight Deep Models for Real-Time Image Classification
by: Rakesh, Vineet Kumar, et al.
Published: (2025)

A Comparative Study of Machine Unlearning Techniques for Image and Text Classification Models
by: Safa, Omar M., et al.
Published: (2024)

GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models
by: Abdollahi, Ali, et al.
Published: (2024)

Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization
by: Ghosh, Avrajit, et al.
Published: (2024)

A Systematic Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation
by: Kamal, Minhas, et al.
Published: (2026)

Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data
by: Aledhari, Mohammed, et al.
Published: (2024)

Deep Learning for Micro-Scale Crack Detection on Imbalanced Datasets Using Key Point Localization
by: Moreh, Fatahlla, et al.
Published: (2024)

No Labels Needed: Zero-Shot Image Classification with Collaborative Self-Learning
by: Todescato, Matheus Vinícius, et al.
Published: (2025)

Multi-Task Learning with Additive U-Net for Image Denoising and Classification
by: Lakkavalli, Vikram, et al.
Published: (2026)

Improved Cotton Leaf Disease Classification Using Parameter-Efficient Deep Learning Framework
by: Patra, Aswini Kumar, et al.
Published: (2024)

Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor Classification
by: Li, Keyu, et al.
Published: (2021)

Exploring a Multimodal Fusion-based Deep Learning Network for Detecting Facial Palsy
by: Oo, Heng Yim Nicole, et al.
Published: (2024)

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

Hybrid Deep Learning for Hyperspectral Single Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)

TeaLeafVision: An Explainable and Robust Deep Learning Framework for Tea Leaf Disease Classification
by: Ahamed, Rafi, et al.
Published: (2026)

Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
by: Shah, Manan, et al.
Published: (2024)

SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
by: Qiu, Peijie, et al.
Published: (2023)

Rethinking VLMs and LLMs for Image Classification
by: Cooper, Avi, et al.
Published: (2024)

Parabolic Continual Learning
by: Yang, Haoming, et al.
Published: (2025)

Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations
by: Kulkarni, Pranav, et al.
Published: (2024)