To this end, we propose a new multi-modality network (MultiModNet) for land cover mapping of multi-modal remote sensing data based on a novel pyramid attention fusion (PAF) module and a gated fusion unit (GFU). The PAF module is designed to efficiently obtain rich fine-grained contextual...
多模态融合(五)Dynamic Fusion with Intra- and Inter-modality Attention Flow for Visual Question Answering 的信息为条件来估计本模态内部各组件关系的重要程度。 示意图如下两种模态在计算Q、V矩阵时均受到来自对方的条件门控向量的影响模态内的自注意力权值对原特征进行第二次更新 将模态内和模态间注意力流进行...
The code of MFGF-UNet is from A Multi-modality Fusion and Gated Multi-filter U-Net for Water Area Segmentation of Remote Sensing Images The code of MFGF-UNet can be used for academic research only, please do not use them for commercial purposes. If you have any problem with the code,...
In this paper, we propose a novel deep multiple instance learning model for medical image analysis, called triple-kernel gated attention-based multiple instance learning with contrastive learning. It can be used to overcome the limitations of the existing multiple instance learning approaches to ...
The closest works are the ones that use attention mechanisms to boost the performance [16, 26]. However, the encoder and decoder of these networks still have convolutional layers as the main building blocks. It was observed that that the transformer-based models work well only when they are ...
Ashraf Salem, in Information Fusion, 2021 4.6.2 Multi-Utterance - Self Attention (MU-SA) Ghosaly et al. [85] extract the context between the neighboring utterances at one level using bidirectional recurrent neural networks based models. The proposed framework takes multi-modal information (i.e....
(3) proposes Medical-Transformer (MedT) which is built upon the above two concepts proposed specifically for medical image segmentation, and (4) successfully improves the performance for medical image segmentation tasks over convolutional networks and fully attention architectures on three different...
multi-modality fusionmulti-filter inceptionattention mechanismremote sensingWater area segmentation in remote sensing is of great importance for flood monitoring. To overcome some challenges in this task, we construct the Water Index and Polarization Information (WIPI) multi-modality dataset ...
CELL fusionWith the proliferation of mobile Internet devices and the increasing speed of networks, coupled with reduced data costs, individuals now enjoy the convenience of watching films on their mobile devices at their preferred times. The widespread adoption of micro-videos has led to the ...