[2402.12525] LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks
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Computer Science > Computer Vision and Pattern Recognition

arXiv:2402.12525 (cs)
[Submitted on 19 Feb 2024]

Title:LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks

Authors:Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal, Hung Cao
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Abstract:LangXAI is a framework that integrates Explainable Artificial Intelligence (XAI) with advanced vision models to generate textual explanations for visual recognition tasks. Despite XAI advancements, an understanding gap persists for end-users with limited domain knowledge in artificial intelligence and computer vision. LangXAI addresses this by furnishing text-based explanations for classification, object detection, and semantic segmentation model outputs to end-users. Preliminary results demonstrate LangXAI's enhanced plausibility, with high BERTScore across tasks, fostering a more transparent and reliable AI framework on vision tasks for end-users.
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)
Cite as: arXiv:2402.12525 [cs.CV]
  (or arXiv:2402.12525v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2402.12525

Submission history

From: Truong Thanh Hung Nguyen [view email]
[v1] Mon, 19 Feb 2024 20:36:32 UTC (9,940 KB)
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