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Generating and evaluating explanations of attended and error‐inducing input regions for VQA models

https://doi.org/10.1002/ail2.51
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/0-387-27890-7_11openalex-snapshot
Real-Time Inference of Complex Mental States from Facial Expressions and Head Gestures
inferredcites →https://doi.org/10.1007/978-3-030-01216-8_17openalex-snapshot
Grounding Visual Explanations
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_24openalex-snapshot
Towards Transparent Systems: Semantic Characterization of Failure Modes
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_28openalex-snapshot
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_1openalex-snapshot
Generating Visual Explanations
inferredcites →https://doi.org/10.1007/s11263-018-1116-0openalex-snapshot
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
inferredcites →https://doi.org/10.1016/0025-5564(75)90047-4openalex-snapshot
A model of inexact reasoning in medicine
inferredcites →https://doi.org/10.1016/j.artint.2018.07.007openalex-snapshot
Explanation in artificial intelligence: Insights from the social sciences
inferredcites →https://doi.org/10.1109/34.868684openalex-snapshot
A Bayesian computer vision system for modeling human interactions
inferredcites →https://doi.org/10.1109/access.2018.2870052openalex-snapshot
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
inferredcites →https://doi.org/10.1109/cvpr.2014.456openalex-snapshot
Predicting Failures of Vision Systems
inferredcites →https://doi.org/10.1109/cvpr.2016.10openalex-snapshot
Stacked Attention Networks for Image Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2016.18openalex-snapshot
Anticipating Visual Representations from Unlabeled Video
inferredcites →https://doi.org/10.1109/cvpr.2016.327openalex-snapshot
Predicting Motivations of Actions by Leveraging Text
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00108openalex-snapshot
Learning to Act Properly: Predicting and Explaining Affordances from Images
inferredcites →https://doi.org/10.1109/cvpr.2018.00636openalex-snapshot
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2018.00915openalex-snapshot
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
inferredcites →https://doi.org/10.1109/cvpr.2019.00979openalex-snapshot
Explicit Bias Discovery in Visual Question Answering Models
inferredcites →https://doi.org/10.1109/hccai49649.2020.00010openalex-snapshot
The Impact of Explanations on AI Competency Prediction in VQA
inferredcites →https://doi.org/10.1109/iccv.2015.279openalex-snapshot
VQA: Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot
Mask R-CNN
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1145/3323873.3325044openalex-snapshot
Stacked Self-Attention Networks for Visual Question Answering
inferredcites →https://doi.org/10.1371/journal.pone.0115212openalex-snapshot
Reading the Mind in the Eyes or Reading between the Lines? Theory of Mind Predicts Collective Intelligence Equally Well Online and Face-To-Face
inferredcites →https://doi.org/10.1609/aimag.v40i2.2850openalex-snapshot
DARPA's Explainable Artificial Intelligence Program
inferredcites →https://doi.org/10.1609/hcomp.v7i1.5275openalex-snapshot
Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval
inferredcites →https://doi.org/10.1609/hcomp.v7i1.5285openalex-snapshot
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance
inferredcites →https://doi.org/10.18653/v1/d16-1092openalex-snapshot
Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions?
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/ail2.61openalex-snapshot
DARPA 's explainable AI ( XAI ) program: A retrospective
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2026.103773openalex-snapshot
Rethinking explainable AI: The gap between saliency-based explanation and user understanding for object detection models
inferred← citeshttps://doi.org/10.1038/s41598-025-26121-xopenalex-snapshot
An autoencoder and vision transformer based interpretability analysis on the performance differences in automated staging of second and third molars
inferred← citeshttps://doi.org/10.1080/10447318.2024.2381929openalex-snapshot
How Explainable AI Affects Human Performance: A Systematic Review of the Behavioural Consequences of Saliency Maps
inferred← citeshttps://doi.org/10.1136/jme-2024-110046openalex-snapshot
When time is of the essence: ethical reconsideration of XAI in time-sensitive environments
inferred← citeshttps://doi.org/10.1145/3615522.3615547openalex-snapshot
Visual Analysis of Scene-Graph-Based Visual Question Answering
inferred← citeshttps://doi.org/10.1145/3623809.3623834openalex-snapshot
Experimental Investigation of Human Acceptance of AI Suggestions with Heatmap and Pointing-based XAI
inferred← citeshttps://doi.org/10.1145/3687272.3688328openalex-snapshot
Effects of Presenting Multiple Types of AI Explanations for Visual Task
inferred← citeshttps://doi.org/10.1186/s42492-025-00185-yopenalex-snapshot
Visual explainable artificial intelligence for graph-based visual question answering and scene graph curation
inferred← citeshttps://doi.org/10.31219/osf.io/ms2kvopenalex-snapshot
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency maps
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