The backbone of our method is a multi-head attention residual network (MARNet), which replaces the proximity operator in the optimization scheme and combines multiple head attentions with residual learning to exploit image self-similarities via nonlocal operators defined in terms of patches. ...
We apply multi-head cross-attention mechanism to hemolytic peptide identification for the first time. It captures the interaction between word embedding features and hand-crafted features by calculating the attention of all positions in them, so that multiple features can be deeply fused. Moreover, ...
Kruskal-Wallis test was a nonparametric scheme for verifying whether samples are originated from the same distribution, in which the null hypothesis is that the mean ranks of the groups are the same. it is more suitable for avoiding the testing being affected by the presence of outliers or by...
This is the official implementation of Multi-Head RAG: Solving Multi-Aspect Problems with LLMs. This framework implements Multi-Head RAG (MRAG), a novel scheme focused on queries that may require fetching multiple documents with substantially different contents. Such queries occur frequently, but are...
structure from channel to space; ParNet is a novel attention module (Goyal et al., 2022), which consists of several parallel sub-networks, each of which is responsible for extracting feature information at different levels and fusing feature information at different scales through an attention ...
H. (2023). Multi-objective cluster head using self-attention based progressive generative adversarial network for secured data aggregation. Ad Hoc Networks, 140, 103037. Article Google Scholar Roberts, M. K., & Ramasamy, P. (2022). Optimized hybrid routing protocol for energy-aware cluster ...
For the exploration of correlation among the tokens, a lightweight multi-head self-attention scheme with a position encoder is employed. Experimental results show that the proposed algorithm has high detection performance for SQL injection. In addition, compared to its lightweight NLP counterparts ...
(Supplementary Figs.2to5). This phenomenon was consistently observed in SOARS, SOARS-revised, and the human reader contours. This indicated that dosimetries in areas consisting of these OARs are sensitive to contouring differences, suggesting that more attention should be required to delineate the ...
The proposed 2D adaptive subspace tracking scheme consists of three steps, at each time instant (frame) t , as discussed next. The presentation refers to faces, but of course the scheme is more general. (a) Localization: The first step is to estimate the new face location at instant t, ...
Subsequently, the ablation experiment is conducted to verify the effectiveness of the improved scheme proposed in this study. Conclusion In this paper, we propose a malicious traffic detection method called GCN-MHSA based on graph convolutional neural network and multi-head self-attention mechanism. ...