如图上的人对应于问题中的the man,这有助于模型理解图片和问题;而intra-modality模块则更像是一个推理模块,是在理解了图片和问题的基础上进行关系推理,其跨模态的condition只是一种帮助推理的辅助信息,与inter-modality模块的作用并不冲突。
(2012). Inter-modality relationship constrained multi-task feature selection for AD/MCI classification. Med. Image Comput. Comput. Assist. Interv. 16, 308-315.Liu F, Wee C-Y, Chen H, Shen D (2014) Inter-modality relationship constrained multi-modality multi- task feature selection for ...
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Inter-modality Dependence Induced Data Recovery for MCI Conversion PredictionLearning complementary information from multi-modality data often improves diagnostic performance of brain disorders. However, it is challenging to obtain this complementary information when the data......
用于视觉问答的具有模态内和模态间注意力的动态融合模型《Dynamic Fusion with Intra- and Inter-modality Attention Flow for Visual 》 comprehensive analysis of the proposed method.论文作者认为学习多模式特征的有效融合是视觉问答的核心,所以提出了一种动态融合多模态特征与模态内和模态间信息流交互的新方法...之...
用于视觉问答的具有模态内和模态间注意力的动态融合模型《Dynamic Fusion with Intra- and Inter-modality Attention Flow for Visual 》,程序员大本营,技术文章内容聚合第一站。
To address this, a novel CMMFNet (cross-modal multi-scale fusion network) is proposed in this work, which explores both intra-modality and inter-modality relationships in brain tumor segmentation. The network is built on a transformer-based multi-encoder and single-decoder structure, which ...
IMANGraphNet (Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping), coded up in Python by Islem Mhiri. Please contact islemmhiri1993@gmail.com for inquiries. Thanks. This repository provides the official PyTorch implementation of the following paper: Non-isomorphic ...
We also establish intra-modality relationship by extracting fine-grained image and text features. We conduct extensive experiments on real-world datasets to show that our approach outperforms the state-of-the-art by an average of 3.05% and 4.525% on accuracy and F1-score, respectively. We also...
Non-rigid inter-modality registration can facilitate accurate information fusion from different modalities, but it is challenging due to the very different image appearances across modalities. In this paper, we propose to train a non-rigid inter-modality