在本节中,我们在两个真实数据集上评估所提出的模型。具体来说,我们将我们的模型与几种高级模型的性能进行了比较,包括早期融合 [6]、后期融合 [6]、CCR [6]、T-LSTM 嵌入 [5] 和深度融合 [4]。此外,我们还添加了我们模型的两个变体,并分析了跨模态注意机制和语义嵌入学习的效果。表 1 简要说明了...
The proposed framework consists of three key modules: the frequency-aware cross-modality attention (FACMA) module, the spatial frequency channel attention (SFCA) module, and the weighted cross-modality fusion (WCMF) module. The main contributions of this article are as follows: The rest of the...
Enhancing Anchor-based Weakly Supervised Referring Expression Comprehension with Cross-Modality Attention - t22786959/Cross-Modality-Attention-in-weakly-supervised-REC
crossattention模块出来是权重吗 cross-modal 1.跨模态检索的定义 在这篇文章中A Comprehensive Survey on Cross-modal Retrieval,作者给出了跨模态检索(Cross Modal Retrieval)的定义:It takes one type of data as the query to retrieve relevant data of another type。大概意思就是说,将一种类型的数据作为查询...
Sentiment analysis of one modality (e.g., text or image) has been broadly studied. However, not much attention has been paid to the sentiment analysis of multi-modal data. As the research on and applications of multi-modal data analysis ... J Wu,T Zhu,J Zhu,... - 《Acm Transactions...
5.Multi-Modality Cross Attention Network for Image and Sentence Matching 方法:作者提出了一种新颖的图像和句子匹配方法,通过在统一的深度模型中联合建模跨模态和内部模态关系。作者首先提取显著的图像区域和句子标记。然后,应用所提出的自注意模块和交叉注意力模块来利用片段之间的复杂细粒度关系。最后,通过最小化基于...
On one hand, CMANet can effectively fuse and extract the cross-modality features; on the other hand, it improves the robustness and efficiency of feature embedding; We design the CMRG based on the self-attention mechanism, which not only filters the noise and highlights advantages in the ...
Besides, we add two single-modality decoder (SMD) branches to preserve more modality-specific information. Finally, we employ a multi-stream fusion (MSF) module to fuse three decoders' features. Comprehensive experiments are conducted on three RGB-T datasets, and the results show that our CAE-...
Most selective attention research has considered only a single sensory modality at a time, but in the real world, our attention must be coordinated crossmodally. Recent studies reveal extensive crossmodal links in attention across the various modalities (i.e. audition, vision, touch and ...
Image-text multimodal classification via cross-attention contextual transformer with modality-collaborative learning Nowadays, we are surrounded by various types of data from different modalities, such as text, images, audio, and video. The existence of this multimodal da... Q Shi,W Xu,Z Miao - ...