另一方面,CV和NLP中都有算法是聚焦于学习模态内部(intra-modality)关系的,比如用图网络处理图像的检测目标、Transformer的self-attention等。 事实上,虽然文章里没有提及,但我之前也了解到,在VQA领域也有人尝试了对intra-modality关系建模,不过文章的关键点倒是说得不错:没有人尝试过同时利用这两类关系来处理VQA问题。
visual question answering, address the performance bottleneck issue caused by over-fitting risk in existing self-attention-based models, and propose a scenario text visual question answering method called INT2-VQA that fuses knowledge manifestation based on inter-modality and i...
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...之间的关系,定义公式如下。 2.2DynamicIntra-modalityAttentionFlow作者提出了两个模态内的注意力流,一种是Intra-modalityAttention 阅读笔记Dyna...
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 ...
Inter-modality Attention:跨模态的attention,从文本模态中提取有利于音频模态的信息,需要将音频作为query,文本作为key、value,反之亦然。 Intra-modality Attention:考虑到不同模态本身性质不同,也可能会引入模态间的噪声,又引入了一个模态内的attention,用于平衡跨模态学到的信息与单一模态学到的信息。基本思路是先用单...
First, they mainly focus on generating graphs from the same domain (intra-modality), overlooking the rich multimodal representations of brain connectivity (inter-modality). Second, they can only handle isomorphic graph generation tasks, limiting their generalizability to synthesizing target graphs with a...
Consequently, RV border detection is currently performed manually, leading to a tedious and time-consuming task, subject to inter- and intra-observer variability. In the last decade, several methods have been proposed to automatically or semi-automatically extract cardiac wall borders. More recently,...
The extracted text and images are then encoded with a pre-trained visual-linguistic model and VGG-19 respectively. A key component of MOMENTA is intra-modal and cross-modal attention fusion. It outperforms majority of the baselines. MeBERT is another work [35] that uses external knowledge-...
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 ...
In this paper, we propose a novel Multi-modal Foreground Detection approach that pursues the inter- and intra-modality consistencies in a unified Low-rank and Sparse separation model called MFDLS. In particular, we first introduce a soft cross-modal constraint to pursue the inter-modal ...