Effective fusion of data from multiple modalities, such as video, speech, and text, is challenging pertaining to the heterogeneous nature of multimodal data. In this paper, we propose dynamic fusion techniques that model context from different modalities efficiently. Instead of defining a deterministic...
FusionMamba模型提出了以下几项关键创新点: 1.动态视觉状态空间模块(DVSS)这是对传统Mamba模型的增强版,旨在改善长距离特征建模,同时保持计算效率。DVSS模块通过动态卷积和高效通道注意力机制,减少通道冗余,提升了局部特征的提取能力。 2.动态特征融合模块(DFFM): 动态特征增强模块(DFEM):该模块通过动态增强纹理细节...
However, current fusion approaches are static in nature, i.e., they process and fuse multimodal in- puts with identical computation, without accounting for diverse computational demands of different multimodal data. In this work, we propose dynamic multimodal fu- sion (DynMM), a new approach ...
Multimodal fusion is crucial in joint decision-making systems for rendering holistic judgments. Since multimodal data changes in open environments, dynamic fusion has emerged and achieved remarkable progress in numerous applications. However, most existing dynamic multimodal fusion methods lack theoretical ...
In this paper, we propose FusionMamba, a novel dynamic feature enhancement method for multimodal image fusion with Mamba. Specifically, we devise an improved efficient Mamba model for image fusion, integrating efficient visual state space model with dynamic convolution and channel attention. This ...
Methods and systems are provided for diagnosing mental health conditions using multiple data modalities. In particular, a trained machine learning model is used for mental health diagnosis, wherein the trained model utilizes a dynamic fusion approach for capturing and preserving interactions as well as...
【读懂论文-2】MM-DFN: MULTIMODAL DYNAMIC FUSION NETWORK FOR EMOTION RECOGNITION IN CONVERSATIONS 进击的探子 2 人赞同了该文章 上一篇文章是手写的,写作体验很沉浸,但是阅读起来不是很爽,所以现选择用markdown的方法。使得笔记在阅读起来能够顺眼。 这篇文章就5页,实验效果倒是挺好,一作是中国人寿的,第一次看...
Fusing multiple modalities has proven effective for multimodal information processing. However, the incongruity between modalities poses a challenge for multimodal fusion, especially in affect recognition. In this study, we first analyze how the salient affective information in one modality can be affected...
decision making medical information systems time series dynamic time warping fusion fusion scheme hepatic infections human medical experts medical decision making multimodal time-series medical data temporal sequences 会议名称: Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE In...
Fusion of information from multiple sets of data in order to extract a set of features that are most useful and relevant for the given task is inherent to ... T Adali,Y Levin-Schwartz,VD Calhoun - 《Proceedings of the IEEE》 被引量: 24发表: 2015年 Deep Multimodal Fusion of Visual and...