Imagen de Portada

Multimodal Approaches to Fair Image Classification: An Ethical Perspective

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Hickmon, Javon
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Computers and Society Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

D3G: Diverse Demographic Data Generation Increases Zero-Shot Image Classification Accuracy within Multimodal Models
por: Hickmon, Javon
Publicado: (2025)

MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
por: Zubair, Md, et al.
Publicado: (2025)

TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction
por: Gheisi, Leila, et al.
Publicado: (2024)

Fair Text-to-Image Diffusion via Fair Mapping
por: Li, Jia, et al.
Publicado: (2023)

Finetuning Text-to-Image Diffusion Models for Fairness
por: Shen, Xudong, et al.
Publicado: (2023)

A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
por: Ramachandran, Sreeraj, et al.
Publicado: (2024)

Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
por: Paxton, Kuniko, et al.
Publicado: (2025)

FairDD: Fair Dataset Distillation
por: Zhou, Qihang, et al.
Publicado: (2024)

Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value Optimization
por: Wang, Xingqi, et al.
Publicado: (2024)

Beyond Images: Adaptive Fusion of Visual and Textual Data for Food Classification
por: Mittal, Prateek, et al.
Publicado: (2023)

Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains
por: Belhadj, Samia, et al.
Publicado: (2024)

Semantic Mismatch and Perceptual Degradation: A New Perspective on Image Editing Immunity
por: Dong, Shuai, et al.
Publicado: (2025)

Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities
por: Moukheiber, Dana, et al.
Publicado: (2024)

Data-Driven Fairness Generalization for Deepfake Detection
por: Ezeakunne, Uzoamaka, et al.
Publicado: (2024)

LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels
por: Ohki, Tetsushi, et al.
Publicado: (2024)

FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
por: Gao, Yicheng, et al.
Publicado: (2024)

Classification for everyone : Building geography agnostic models for fairer recognition
por: Jindal, Akshat, et al.
Publicado: (2023)

Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
por: Queiroz, Dilermando, et al.
Publicado: (2025)

Leveraging Self-Supervised Learning for Scene Classification in Child Sexual Abuse Imagery
por: Valois, Pedro H. V., et al.
Publicado: (2024)

Context-aware Multimodal AI Reveals Hidden Pathways in Five Centuries of Art Evolution
por: Kim, Jin, et al.
Publicado: (2025)

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models
por: Porikli, Sedat, et al.
Publicado: (2025)

Towards Transferable Defense Against Malicious Image Edits
por: Zhang, Jie, et al.
Publicado: (2025)

A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models
por: Yang, Junjie, et al.
Publicado: (2024)

Automated Toll Management System Using RFID and Image Processing
por: Ahmed, Raihan, et al.
Publicado: (2024)

Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis
por: Struppek, Lukas, et al.
Publicado: (2022)

FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models
por: Sahili, Zahraa Al, et al.
Publicado: (2024)

Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging
por: Yang, Yuzhe, et al.
Publicado: (2024)

DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models
por: De Simone, Zoe, et al.
Publicado: (2023)

Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods
por: Olesen, Vincent, et al.
Publicado: (2024)

RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
por: Xia, Peng, et al.
Publicado: (2024)

On Biases in a UK Biobank-based Retinal Image Classification Model
por: Alloula, Anissa, et al.
Publicado: (2024)

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

Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
por: Hong, Yunqi, et al.
Publicado: (2025)

Benchmarking the Fairness of Image Upsampling Methods
por: Laszkiewicz, Mike, et al.
Publicado: (2024)

Representation Engineering: A Top-Down Approach to AI Transparency
por: Zou, Andy, et al.
Publicado: (2023)

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

FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
por: Li, Minghan, et al.
Publicado: (2025)

OxEnsemble: Fair Ensembles for Low-Data Classification
por: Rystrøm, Jonathan, et al.
Publicado: (2025)

Fairness Evaluation of Risk Estimation Models for Lung Cancer Screening
por: Gaur, Shaurya, et al.
Publicado: (2025)

RadDiff: Describing Differences in Radiology Image Sets with Natural Language
por: Shen, Xiaoxian, et al.
Publicado: (2026)