Additionally, the Window-based mechanism reduces the number of required patches from N to 𝑁𝐾NK with a K window size. In our case, it is reduced from 2048 points to 128 through a window (in our experiment, the window size is 4×44×4). 2.3.3. Cross-Window Self-Attention We ...
Keywords: gaze estimation;swin transformer;convolutional neural networks (CNN);deep learning;self-attention mechanism
In this paper, an improved network with a cross-region self-attention mechanism for multi-scalefeatures based onDeepLabv3+is designed to address the ... Q Tong,Z Zhu,M Zhang,... - 《Computers Materials & Continua》 被引量: 0发表: 2024年 TS-BEV: BEV object detection algorithm based on...
The computational cost of the global self-attention mechanism increases quadratically, thus hindering the application of Transformers for high-resolution images. Methods: In view of this, this paper proposes a multi-view brain tumor segmentation model based on cross windows and fo...
Cross-Device Migration FAQs Initiating Multi-Device Collaboration Multi-Device Collaboration Development Guidelines Multi-Device Collaboration FAQs Service Sharing Based on Huawei Share Overview of Service Sharing Based on Huawei Share Development Guidelines for Service Sharing Based on Huawei Share ...
WSA-YOLOv5s: improved YOLOv5s based on window self-attention module for ship detection 来自 Springer 喜欢 0 阅读量: 1 作者:W Zhou,H Wang,X Wu 摘要: Ship detection from visual image (SDVI) plays a significant role in terminal management, cross-border ship detection and marine target ...
6. The system of claim 2, wherein the property of the TPSF comprises one or more of a full width at half maximum metric associated with the TPSF, a center of mass associated with the TPSF, a fitting metric associated with the TPSF, or a cross-correlation metric associated with the ...
Two main applications of graphene in solar cells are described as follows: The first is to cross graphene on the surface of an n-type silicon wafer [20,21]. The high light transmittance optical property of graphene allowed p-type silicon to fully absorb and use photoelectrons [22]. The ...
Temporal pattern attention for multivariate time series forecasting. Mach. Learn. 2019, 108, 1421–1441. [Google Scholar] [CrossRef] [Green Version] Mahmoudi, M.R.; Baroumand, S. Modeling the stochastic mechanism of sensor using a hybrid method based on seasonal autoregressive integrated moving...
Short-Term Load Forecasting Using Channel and Temporal Attention Based Temporal Convolutional Network. Electr. Power Syst. Res. 2022, 205, 107761. [Google Scholar] [CrossRef] Zhu, K.; Geng, J.; Wang, K. A hybrid prediction model based on pattern sequence-based matching method and extreme ...