In this paper, we propose a novel network named multi-modal cross-attention network (MMCAN) for multi-modal free-space detection with uncalibrated hyperspectral sensors. We first introduce a cross-modality transformer using hyperspectral data to enhance RGB features, then aggregate these ...
Multi-Modality Cross Attention Network for Image and Sentence Matching Xi Wei1, Tianzhu Zhang1,∗, Yan Li2, Yongdong Zhang1, Feng Wu1 1 University of Science and Technology of China; 2 Kuaishou Technology wx33921@mail.ustc.edu.cn; {tzzhang,fengwu,zhyd...
Also, we investigate the importance of cross-attention and the contribution of each modality to the diagnostics performance. The experimental results demonstrate that combining multi-modality data via cross-attention is helpful for accurate AD diagnosis. 展开 ...
1.6 跨模式利用 Cross-Modality Utilization 当我们经历了三种不同类型的模态和处理它们的算法后,敏锐的观察者会发现,在某些情况下,模态的表现方式存在足够的共性,以至于最初为一种模态设计的算法也可能变成能够适应不同模态的算法。这种跨模态的利用可能会带来一个潜在的好处,即扩大适用于某一特定模态的算法集[32]。
In this paper, we propose a novel multi-modal fusion strategy named conditional attention fusion, which can dynamically pay attention to different modalities at each time step. Long-short term memory recurrent neural networks (LSTM-RNN) is applied as the basic uni-modality model to capture long ...
(Color online) Two representative strategies of cross-modal synthesis. (a) Instance-based modality synthesis; (b) generative model-based modality synthesis 3.2 跨模态转换 真实场景在生成新模态实体时除了丰富已有信息的目的之外, 还有一些需要复杂模态到简单模态进行转换来降低数据量的任务. 这类多模态任务在...
[ACM MM 2023] Cross-Modal Graph Attention Network for Entity Alignment. [ACM MM 2023] PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs. [ISWC 2023] Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment. [WWW 2023] Attrib...
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic SegmentationZhang Boxiang; Wang Zunran; Ling Yonggen; Guan Yuanyuan; zhang shenghao; Li WenhuiMCoMet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense ReasoningZong Daoming; Sun Shiliang Alignment-Enriched Tuning...
First, the features of text, speech, and video modalities are extracted by independent coding to obtain the emotional feature representation of each modality. Then, a cross-modal attention mechanism is used for cross-modal emotional interaction through modal pairs. Using self-supervised learning ...