SSGNet: Selective Multi-Scale Receptive Field and Kernel Self-Attention Based on Group-Wise Modality for Brain Tumor Segmentationbrain tumor segmentationMRImedical imagedeep learningmulti-modality fusionMedical image processing has been used in medical image analysis for many years ...
[LOGD] Layerwise Optimization by Gradient Decomposition for Continual Learning(CVPR 2021)[paper] [SPPR] Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning(CVPR 2021)[paper] [LReID] Lifelong Person Re-Identification via Adaptive Knowledge Accumulation(CVPR 2021)[paper][code] ...
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...
However, there still seems to lack a group-wise consistent study across whole-brain scale regions on large-scale subjects. Most of the previous ASD fMRI studies focused on individual or a relatively small number of brain regions or networks. Mounting evidence has shown that the human brain ...
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
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...
But there’s one more asset class with the word private in its name that has recently gained much attention. We’re talking about private credit. Indeed, this once little-known investment strategy is now growing rapidly in popularity, offering private investors worldwide an exciting opportunity ...
Methodologically, our study adds to the CSCL field by considering temporality of collaboration, which is essential for the process theory of collaborative learning(Ludvigsen,2016; Wise & Schaffer,2015). Both group-level learning regulation and CKC are viewed as group-level constructs in collaborative ...
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...
nary effectiveness of the group intervention for traditional grandparents—the results obtained from the self-report ASD Knowledge Survey could be viewed as the initial testing of the scale that could inform and be used in larger-scale effec- tiveness studies with this population in the future. Im...