In order to address these limitations, this paper introduces an Efficient Local Attention (ELA) method that achieves substantial performance improvements with a simple structure. By analyzing the limitations of the Coordinate Attention method, we identify the lack of generalization ability in Batch ...
One of the reasons to explain this fact is that the developments of general purpose software for stochastic analysis have received considerable less attention than their deterministic counterparts. Another common limitation of stochastic procedures is that the computational cost is often by orders of ...
ELANet: Effective Lightweight Attention-Guided Network for Real-Time Semantic Segmentation 2023, Neural Processing Letters EBUNet: a fast and accurate semantic segmentation network with lightweight efficient bottleneck unit 2023, Complex and Intelligent Systems LMFFNet: A Well-Balanced Lightweight Network...
Therefore, attention has been paid to the efficient and stable VLD photocatalysts with metal-free exposed surfaces because of their improved biosafety8,9. Recently, graphitic carbon nitride layered-stacked metal-free polymer semiconductor with a narrow band gap of 2.7 eV, has a(gtt-rCac3Nte4d)...
Abbood3, Qingyin Li1, Ni Jing1 & Bien Tan1 The preparation of nitrogen-doped activated carbon (NACs) has received significant attention because of their applications in CO2 capture and sequestration (CCS) owing to abundant nitrogen atoms on their surface and controllable pore structures...
Our attention focused on three sites that were explored mainly by means of the surface waves extracted from both active and passive seismic data. A series of standard and unconventional methodologies were applied to verify the presence of lateral variations and depict the local VS vertical profiles....
To address these challenges, we propose an efficient lightweight attention network (ELANet) for the skin lesion segmentation task. In ELANet, two different attention mechanisms of the bilateral residual module (BRM) can achieve complementary information, which enhances the sensitivity to ...
Compared with SENet [19], we optimize the global operation of 1x1 ordinary convolution to the local operation of 3x1 1D convolution. In this way, we introduce fewer parameters and less computation. This dual attention mechanism is conducive to improving the recognition accuracy. In this paper, ...
We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners who may combine it with other information that you’ve provided to them or...
Ultrasound-assisted extraction (UA) technology is receiving considerable attention due to its beneficial properties, including high extraction efficiency, high reproducibility, low time and solvent consumption, easy operation, low cost and low pollution to environment [31], [32]. The procedure is ...