HIVE: Evaluating the Human Interpretability of Visual Explanations

HIVE: Evaluating the Human Interpretability of Visual Explanations

6 December 2021

Sunnie S. Y. Kim

V. V. Ramaswamy

Olga Russakovsky

Papers citing "HIVE: Evaluating the Human Interpretability of Visual Explanations"

19 / 19 papers shown

Title
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 49 0 0 14 Apr 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models Itay Benou Tammy Riklin-Raviv 56 0 0 27 Feb 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment Harrish Thasarathan Julian Forsyth Thomas Fel M. Kowal Konstantinos G. Derpanis 91 7 0 06 Feb 2025
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 43 0 0 16 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 87 0 0 14 Sep 2024
Inpainting the Gaps: A Novel Framework for Evaluating Explanation Methods in Vision Transformers Lokesh Badisa Sumohana S. Channappayya 29 0 0 17 Jun 2024
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 36 2 0 11 Jun 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 36 5 0 02 May 2024
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 16 1 0 30 Nov 2023
Zero-shot Translation of Attention Patterns in VQA Models to Natural Language Leonard Salewski A. Sophia Koepke Hendrik P. A. Lensch Zeynep Akata 25 2 0 08 Nov 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 19 32 0 11 Aug 2023
Precise Benchmarking of Explainable AI Attribution Methods Rafael Brandt Daan Raatjens G. Gaydadjiev XAI 11 4 0 06 Aug 2023
Towards a Praxis for Intercultural Ethics in Explainable AI Chinasa T. Okolo 21 2 0 24 Apr 2023
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs V. V. Ramaswamy Sunnie S. Y. Kim Ruth C. Fong Olga Russakovsky 8 0 0 27 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 13 28 0 14 Mar 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations Valerie Chen Q. V. Liao Jennifer Wortman Vaughan Gagan Bansal 21 102 0 18 Jan 2023
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis Samuele Poppi Marcella Cornia Lorenzo Baraldi Rita Cucchiara FAtt 125 30 0 20 Apr 2021
Estimating Example Difficulty Using Variance of Gradients Chirag Agarwal Daniel D'souza Sara Hooker 190 103 0 26 Aug 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 222 3,658 0 28 Feb 2017