Mar 28, 2024 · In this paper, we propose to leverage emerging multimodal, vision-language, foundation models (VLMs) as a lens through which we can reason about vision models.
Concept-Based Analysis of Neural Networks via Vision-Language ...
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Jul 17, 2024 · In this paper, we propose to leverage emerging multimodal, vision-language, foundation models (VLMs) as a lens through which we can reason about vision models.
We proposed the use of foundation vision-language models (VLMs) as tools for concept-based analysis of vision-based DNNs. We described a specification language, ...
Concept-Based Analysis of Neural Networks via Vision-Language Models · View Table of Contents. Export Citations. Select Citation format. BibTeX, EndNote, ACM ...
In this paper, we propose to leverage emerging multimodal, vision-language, foundation models (VLMs) as a lens through which we can reason about vision models.
Jul 29, 2024 · Bayesian Neural Networks represent a fascinating confluence of deep learning and probabilistic reasoning, offering a compelling framework for ...
Apr 11, 2024 · They use vision-language models, which can connect visual and textual information, to probe the conceptual understanding of neural networks.
Apr 10, 2024 · Bibliographic details on Concept-based Analysis of Neural Networks via Vision-Language Models.
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The paper proposes a novel approach to formally analyze and verify vision-based deep neural network (DNN) classifiers by leveraging emerging multimodal, ...
Jul 28, 2024 · In this paper, we study such concept-based explainability for Deep Neural Networks (DNNs). ... Neural Network (CNN)-based models, making ...