Jul 27, 2022 · This study proposes the following: 1) we introduce a novel semantic inconsistency measure computed from caption uncertainty and semantic similarity.

Jul 18, 2022 · A novel semantic inconsistency measure computed from caption uncertainty and semantic similarity is introduced and applied to integrate explicit knowledge and ...

Knowledge-based visual question answering (KVQA) task is to answer questions that require an understanding of images, questions, and additional external ...

Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base. Jinyeong Chae, Jihie Kim. Uncertainty-based ...

Knowledge-based visual question answering (KVQA) task aims to answer questions that require additional external knowledge as well as an understanding of images ...

Knowledge-based visual question answering (KVQA) task aims to answer questions that require additional external knowledge as well as an understanding of images ...

Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base · no code implementations • 27 Jul 2022 ...

Jan 2, 2024 · This article aims to explore the untapped possibilities of multimodal deep learning in Visual Question Answering (VQA) and address a research ...

Uncertainty-based visual question answering: estimating semantic inconsistency between image and knowledge base. J Chae, J Kim. 2022 International Joint ...

Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base. Jinyeong Chae, Jihie Kim. IEEE International ...