Cover Image

On The Coherence of Quantitative Evaluation of Visual Explanations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vandersmissen, Benjamin, Oramas, Jose
Format:	Preprint
Published:	2023
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

Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging
by: Chung, Minjae, et al.
Published: (2025)

Rethinking Visual Counterfactual Explanations Through Region Constraint
by: Sobieski, Bartlomiej, et al.
Published: (2024)

Coherent Zero-Shot Visual Instruction Generation
by: Phung, Quynh, et al.
Published: (2024)

V-CECE: Visual Counterfactual Explanations via Conceptual Edits
by: Spanos, Nikolaos, et al.
Published: (2025)

Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs
by: Mitra, Soham, et al.
Published: (2024)

Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation
by: Zhang, Ziheng, et al.
Published: (2025)

XBench: A Comprehensive Benchmark for Visual-Language Explanations in Chest Radiography
by: Luo, Haozhe, et al.
Published: (2025)

SemCo: Toward Semantic Coherent Visual Relationship Forecasting
by: Ou, Yangjun, et al.
Published: (2021)

Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations
by: Fresz, Benjamin, et al.
Published: (2024)

Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention
by: Leem, Saebom, et al.
Published: (2024)

Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization
by: Fontana, Maxime, et al.
Published: (2024)

Self-Rewarded Multimodal Coherent Reasoning Across Diverse Visual Domains
by: Zhang, Jesen, et al.
Published: (2025)

Quantitative Video World Model Evaluation for Geometric-Consistency
by: Wu, Jiaxin, et al.
Published: (2026)

CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
by: Yu, Wenlong, et al.
Published: (2025)

Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems
by: Lu, Yuhang, et al.
Published: (2024)

ICCV23 Visual-Dialog Emotion Explanation Challenge: SEU_309 Team Technical Report
by: Yuan, Yixiao, et al.
Published: (2024)

Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
by: Tsigos, Konstantinos, et al.
Published: (2024)

Visual Evaluative AI: A Hypothesis-Driven Tool with Concept-Based Explanations and Weight of Evidence
by: Le, Thao, et al.
Published: (2024)

Explanation-Driven Counterfactual Testing for Faithfulness in Vision-Language Model Explanations
by: Ding, Sihao, 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)

Evaluating the Alignment Between GeoAI Explanations and Domain Knowledge in Satellite-Based Flood Mapping
by: Lee, Hyunho, et al.
Published: (2026)

From Pixels to Explanations: Interpretable Diabetic Retinopathy Grading with CNN-Transformer Ensembles, Visual Explainability and Vision-Language Models
by: Khokhar, Pir Bakhsh, et al.
Published: (2026)

EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations
by: Kim, Hyunjong, et al.
Published: (2025)

PCEvE: Part Contribution Evaluation Based Model Explanation for Human Figure Drawing Assessment and Beyond
by: Lee, Jongseo, et al.
Published: (2024)

Adversarial Attacks on VQA-NLE: Exposing and Alleviating Inconsistencies in Visual Question Answering Explanations
by: Yeh, Yahsin, et al.
Published: (2025)

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

Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations
by: Doumanoglou, Alexandros, et al.
Published: (2023)

Real-Time Fusion of Visual and Chart Data for Enhanced Maritime Vision
by: Kreis, Marten, et al.
Published: (2025)

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
by: Babaiee, Zahra, et al.
Published: (2025)

When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data Visualizations
by: Lalai, Harsh Nishant, et al.
Published: (2026)

A Physical Coherence Benchmark for Evaluating Video Generation Models via Optical Flow-guided Frame Prediction
by: Chen, Yongfan, et al.
Published: (2025)

Noise-Free Explanation for Driving Action Prediction
by: Zhu, Hongbo, et al.
Published: (2024)

MLLM-based Textual Explanations for Face Comparison
by: Sony, Redwan, et al.
Published: (2026)

Hands-on Evaluation of Visual Transformers for Object Recognition and Detection
by: Vlachogiannis, Dimitrios N., et al.
Published: (2025)

Multiple Different Black Box Explanations for Image Classifiers
by: Chockler, Hana, et al.
Published: (2023)

An Integrated Framework for Multi-Granular Explanation of Video Summarization
by: Tsigos, Konstantinos, et al.
Published: (2024)

Local-to-Global Logical Explanations for Deep Vision Models
by: Vasu, Bhavan, et al.
Published: (2026)

Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
by: Storås, Andrea M., et al.
Published: (2024)

Sufficient, Necessary and Complete Causal Explanations in Image Classification
by: Kelly, David A, et al.
Published: (2025)

Generating Part-Based Global Explanations Via Correspondence
by: Rathore, Kunal, et al.
Published: (2025)