Image de couverture de livre

ViG-Bias: Visually Grounded Bias Discovery and Mitigation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Marani, Badr-Eddine, Hanini, Mohamed, Malayarukil, Nihitha, Christodoulidis, Stergios, Vakalopoulou, Maria, Ferrante, Enzo
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Class Adaptive Conformal Training
par: Marani, Badr-Eddine, et autres
Publié: (2026)

Medical Context Distorts Decisions in Clinical Vision Language Models
par: Restrepo, David, et autres
Publié: (2026)

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI
par: Restrepo, David, et autres
Publié: (2025)

Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision
par: Gaggion, Nicolás, et autres
Publié: (2026)

Fairness and Robustness of CLIP-Based Models for Chest X-rays
par: Sourget, Théo, et autres
Publié: (2025)

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation
par: Fillioux, Leo, et autres
Publié: (2025)

SGPMIL: Sparse Gaussian Process Multiple Instance Learning
par: Lolos, Andreas, et autres
Publié: (2025)

CAPRMIL: Context-Aware Patch Representations for Multiple Instance Learning
par: Lolos, Andreas, et autres
Publié: (2025)

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation
par: Morales-Álvarez, Pablo, et autres
Publié: (2024)

ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention
par: Liao, Bencheng, et autres
Publié: (2024)

Controllable Latent Space Augmentation for Digital Pathology
par: Boutaj, Sofiène, et autres
Publié: (2025)

BM-CL: Bias Mitigation through the lens of Continual Learning
par: Mansilla, Lucas, et autres
Publié: (2025)

Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition
par: Zuo, Lin, et autres
Publié: (2024)

Ges3ViG: Incorporating Pointing Gestures into Language-Based 3D Visual Grounding for Embodied Reference Understanding
par: Mane, Atharv Mahesh, et autres
Publié: (2025)

OCTOPUS: Enhancing the Spatial-Awareness of Vision SSMs with Multi-Dimensional Scans and Traversal Selection
par: Mahatha, Kunal, et autres
Publié: (2026)

SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning
par: Fillioux, Leo, et autres
Publié: (2026)

VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG
par: Xu, Yankun, et autres
Publié: (2023)

Full Conformal Adaptation of Medical Vision-Language Models
par: Silva-Rodríguez, Julio, et autres
Publié: (2025)

Are foundation models for computer vision good conformal predictors?
par: Fillioux, Leo, et autres
Publié: (2024)

ViG-LRGC: Vision Graph Neural Networks with Learnable Reparameterized Graph Construction
par: Elsharkawi, Ismael, et autres
Publié: (2025)

THUNDER: Tile-level Histopathology image UNDERstanding benchmark
par: Marza, Pierre, et autres
Publié: (2025)

MAVias: Mitigate any Visual Bias
par: Sarridis, Ioannis, et autres
Publié: (2024)

Information Maximization for Long-Tailed Semi-Supervised Domain Generalization
par: Fillioux, Leo, et autres
Publié: (2026)

Unveiling and Mitigating Bias in Audio Visual Segmentation
par: Sun, Peiwen, et autres
Publié: (2024)

SegDebias: Test-Time Bias Mitigation for ViT-Based CLIP via Segmentation
par: Wu, Fangyu, et autres
Publié: (2025)

BAdd: Bias Mitigation through Bias Addition
par: Sarridis, Ioannis, et autres
Publié: (2024)

CDG-MAE: Learning Correspondences from Diffusion Generated Views
par: Belagali, Varun, et autres
Publié: (2025)

VB-Mitigator: An Open-source Framework for Evaluating and Advancing Visual Bias Mitigation
par: Sarridis, Ioannis, et autres
Publié: (2025)

BAMI: Training-Free Bias Mitigation in GUI Grounding
par: Zhang, Borui, et autres
Publié: (2026)

ViG3D-UNet: Volumetric Vascular Connectivity-Aware Segmentation via 3D Vision Graph Representation
par: Liu, Bowen, et autres
Publié: (2025)

Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications
par: Ferrante, Enzo, et autres
Publié: (2024)

Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
par: Zhang, Wenyu, et autres
Publié: (2024)

BARE: Towards Bias-Aware and Reasoning-Enhanced One-Tower Visual Grounding
par: Li, Hongbing, et autres
Publié: (2026)

How I Met Your Bias: Investigating Bias Amplification in Diffusion Models
par: Roos, Nathan, et autres
Publié: (2025)

FairViT-GAN: A Hybrid Vision Transformer with Adversarial Debiasing for Fair and Explainable Facial Beauty Prediction
par: Boukhari, Djamel Eddine
Publié: (2025)

Multimodal Carotid Risk Stratification with Large Vision-Language Models: Benchmarking, Fine-Tuning, and Clinical Insights
par: Tsolissou, Daphne, et autres
Publié: (2025)

Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models
par: Matos, Ivan Luiz De Moura, et autres
Publié: (2026)

Fairness and Bias Mitigation in Computer Vision: A Survey
par: Dehdashtian, Sepehr, et autres
Publié: (2024)

Bias Mitigating Few-Shot Class-Incremental Learning
par: Zhao, Li-Jun, et autres
Publié: (2024)

Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement
par: Shukla, Pushkar, et autres
Publié: (2024)