Specifically, we propose a Multi-Scale Adaptive Spatial Attention Gate (MASAG), which dynamically adjusts the receptive field (Local and Global contextual information) to ensure that spatially relevant features are selectively highlighted while minimizing background distractions. Extensive evaluations ...
Therefore, our proposed AFFM fusion module integrates multiple attention mechanisms and adaptive fusion strategies, enabling a more comprehensive integration of multi-scale features, thereby enhancing model performance. Impact of different convolution kernel sizes on the performance of the AFFM module To ...
With the rapid advancements in spatial transcriptome sequencing, multiple tissue slices are now available, enabling the integration and interpretation of spatial cellular landscapes. Herein, we introduce SpaDo, a tool for multi-slice spatial domain analy
Fig. 2. Structure diagram of the proposed pyramidal multi-scale joint attention and adaptive fusion network. 3.2 Feature encoder module Due to the limited receptive field and the shallow depth of U-Net networks, it is insufficient for effective multiscale feature extraction. To address this issue...
Additionally, we introduce the lightweight attention gate (AG) within the skip connection, which effectively filters noise in low-level semantic information across spatial and channel dimensions, thus attenuating irrelevant features. To further improve performance, we innovated the AG dilation (AGDT) ...
Multi-head attention arbitration network The extracted features by multi-scale CNN and bi-LSTM are contacted into a vector. And the feature vector is fed into the arbitration network for their weights redistribution. The arbitration network depends mainly on multi-head attention mechanism to efficientl...
2021TMMCCAFNet: Crossflow and Cross-scale Adaptive Fusion Network for Detecting Salient Objects in RGB-D Images Wujie Zhou, et al.Paper/Code 2020 YearPub.TitleLinks 2020ECCVRGB-D Salient Object Detection with Cross-Modality Modulation and Selection ...
提出一种新的多模态数据融合方法,即PCAG(Pre-gating and Contextual Attention Gate),以解决现有跨模态交互学习中的噪声问题和不确定性问题。 PCAG包含两个关键机制:Pre-gating和Contextual Attention Gate (CAG)。Pre-gating在跨注意力之前直接控制跨模态交互的生成,而CAG则在跨注意力之后,利用上下文信息来评估生成的...
Low-rate distributed denial of service attacks, as known as LDDoS attacks, pose the notorious security risks in cloud computing network. They overload the cloud servers and degrade network service quality with the stealthy strategy. Furthermore, this kin
This makes the spatial dependency of wireless service traffic not only local, but also a large-scale global dependency. On the other hand, the wireless traffic is also dependent on the time dimension. The traffic value at a certain moment is highly correlated with the traffic value at a ...