Cover Image

A comprehensive study on fidelity metrics for XAI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Miró-Nicolau, Miquel, Jaume-i-Capó, Antoni, Moyà-Alcover, Gabriel
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Meta-evaluating stability measures: MAX-Senstivity & AVG-Sensitivity
by: Miró-Nicolau, Miquel, et al.
Published: (2024)

Towards a Novel Measure of User Trust in XAI Systems
by: Miró-Nicolau, Miquel, et al.
Published: (2024)

Towards an Evaluation Framework for Explainable Artificial Intelligence Systems for Health and Well-being
by: Amengual-Alcover, Esperança, et al.
Published: (2025)

Geometric-Based Nail Segmentation for Clinical Measurements
by: Galmés, Bernat, et al.
Published: (2025)

Exploring SAIG Methods for an Objective Evaluation of XAI
by: Miró-Nicolau, Miquel, et al.
Published: (2026)

Crowdsourced human-based computational approach for tagging peripheral blood smear sample images from Sickle Cell Disease patients using non-expert users
by: Rubio, José María Buades, et al.
Published: (2025)

Solving nonograms using Neural Networks
by: Rubio, José María Buades, et al.
Published: (2025)

VLMs meet UDA: Boosting Transferability of Open Vocabulary Segmentation with Unsupervised Domain Adaptation
by: Alcover-Couso, Roberto, et al.
Published: (2024)

XAI-guided Insulator Anomaly Detection for Imbalanced Datasets
by: Hoefler, Maximilian Andreas, et al.
Published: (2024)

UbiQVision: Quantifying Uncertainty in XAI for Image Recognition
by: Dubey, Akshat, et al.
Published: (2025)

XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection
by: Clement, Tobias, et al.
Published: (2024)

NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques
by: Hryniewska-Guzik, Weronika, et al.
Published: (2024)

Bridging Accuracy and Interpretability: Deep Learning with XAI for Breast Cancer Detection
by: Chhetri, Bishal, et al.
Published: (2025)

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation
by: Mulawade, Raju Ningappa, et al.
Published: (2025)

Automated Detection of Malignant Lesions in the Ovary Using Deep Learning Models and XAI
by: Ifty, Md. Hasin Sarwar, et al.
Published: (2026)

The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations
by: Poh, Rech Leong Tian, et al.
Published: (2025)

High-fidelity Person-centric Subject-to-Image Synthesis
by: Wang, Yibin, et al.
Published: (2023)

BarkXAI: A Lightweight Post-Hoc Explainable Method for Tree Species Classification with Quantifiable Concepts
by: Huang, Yunmei, et al.
Published: (2025)

Zero-shot High-fidelity and Pose-controllable Character Animation
by: Zhu, Bingwen, et al.
Published: (2024)

Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning
by: Rabadán, Miquel Martí i, et al.
Published: (2026)

Adversarial purification for no-reference image-quality metrics: applicability study and new methods
by: Gushchin, Aleksandr, et al.
Published: (2024)

Multi-model approach for autonomous driving: A comprehensive study on traffic sign-, vehicle- and lane detection and behavioral cloning
by: Jaisankar, Kanishkha, et al.
Published: (2026)

How well are open sourced AI-generated image detection models out-of-the-box: A comprehensive benchmark study
by: Ren, Simiao, et al.
Published: (2026)

XAI-Driven Skin Disease Classification: Leveraging GANs to Augment ResNet-50 Performance
by: Villanueva, Kim Gerard A., et al.
Published: (2025)

Seg-metrics: a Python package to compute segmentation metrics
by: Jia, Jingnan, et al.
Published: (2024)

Layer-wise Model Merging for Unsupervised Domain Adaptation in Segmentation Tasks
by: Alcover-Couso, Roberto, et al.
Published: (2024)

Human-Centered Evaluation of XAI Methods
by: Dawoud, Karam, et al.
Published: (2023)

Towards High-fidelity 3D Talking Avatar with Personalized Dynamic Texture
by: Li, Xuanchen, et al.
Published: (2025)

LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks
by: Nguyen, Truong Thanh Hung, et al.
Published: (2024)

RetinaVision: XAI-Driven Augmented Regulation for Precise Retinal Disease Classification using deep learning framework
by: Noor, Mohammad Tahmid, et al.
Published: (2026)

Bluish Veil Detection and Lesion Classification using Custom Deep Learnable Layers with Explainable Artificial Intelligence (XAI)
by: Rasel, M. A., et al.
Published: (2025)

XAI-CLIP: ROI-Guided Perturbation Framework for Explainable Medical Image Segmentation in Multimodal Vision-Language Models
by: Alzubaidi, Thuraya, et al.
Published: (2026)

Benchmarking XAI Explanations with Human-Aligned Evaluations
by: Kazmierczak, Rémi, et al.
Published: (2024)

Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators
by: Chiaburu, Teodor, et al.
Published: (2025)

Landmark-guided Diffusion Model for High-fidelity and Temporally Coherent Talking Head Generation
by: Tan, Jintao, et al.
Published: (2024)

CustomTex: High-fidelity Indoor Scene Texturing via Multi-Reference Customization
by: Chen, Weilin, et al.
Published: (2026)

Evaluation Cards for XAI Metrics
by: Gipiškis, Rokas, et al.
Published: (2026)

A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond
by: Li, Jing, et al.
Published: (2024)

Generalizing vision-language models to novel domains: A comprehensive survey
by: Li, Xinyao, et al.
Published: (2025)

Multi-scale HSV Color Feature Embedding for High-fidelity NIR-to-RGB Spectrum Translation
by: Zhai, Huiyu, et al.
Published: (2024)