SSGNet: Selective Multi-Scale Receptive Field and Kernel Self-Attention Based on Group-Wise Modality for Brain Tumor Segmentationdoi:10.3390/electronics13101915BRAIN tumorsMARKOV random fieldsCOMPUTER-assisted image analysis (Medicine)IMAGE analysis
Spatial Group-wise Enhance: Enhancing Semantic Feature Learning in CNN Yuxuan Li1, Xiang Li1⋆, and Jian Yang1 Nankai University, 38 Tongyan Road, Jinnan District, Tianjin, P.R.China 300350 Abstract. The success of attention modules in CNN has attracted in- creasing...
Indeed, the group controller (GC) must store n pairwise keys (where n is the number of group members), 2·m secret keys resulting from the two generated hash chains (where m is the group life) and m random numbers. Regarding the communication cost, it is also high at the GC as it...
Fna corresponds to group-wise features while Mn is the attention mask. For each group, a one-channel feature map Fna is com- puted after applying a 3 × 3 convolutional layer on top of the corresponding feature maps Fng. They are further concate- nated and a softmax function...
U-Net has become baseline standard in the medical image segmentation tasks, but it has limitations in explicitly modeling long-term dependencies. Transformer has the ability to capture long-term relevance through its internal self-attention. However, Tra
2.1.1 Pairwise keys To manage the keying materials, the GKM shares an individual secret key with each member of the group. This key is used to set up a secure channel between each member and the GKM in order to securely deliver the new TEK whenever any changes occur in group membership...
Several event related potential (ERP) studies have investigated the time course of different aspects of evaluative processing in social bias research. Various reports suggest that the late positive potential (LPP) is modulated by basic evaluative process
For large quantities of spatial models, the multi-strategy selection under weak selection is the sum of two competition terms: the pairwise competition and the competition of multiple strategies with equal frequency. Two parameters σ1 and σ2 quantify t
Different from the pairwise interactions in the PDG and in the SG, the PGG models the group interactions in which more than two agents compete for common resources. Each agent in the group gets the same benefit but only the cooperators incur costs. Although groups of cooperators outperform ...
The CoSOD-TB partitions each image group into lo- cal patches, and the attention mechanism in the transformer enables this branch to model patch-wise correlation-based local features. As a result, the group consistency informa- tion can be captured by this branch....