Transformational grammar’s Θ-criterion: in a grammatical sentence every semantic role assigned by the verb must be realized by some argument and each argument may bear only one such role

In ECCV, 2014. Zhao, H., Qi, X., Shen, X., Shi, J., Jia, J., ICNet for Real-Time Semantic Segmentation on High-Resolution Images, In ECCV 2018. R. Poudel et al. (CRL) Fast-SCNN: Fast Semantic …

In this paper, deep learning has been used with the PRISMA satellite hyperspectral data, for the purpose of semantic segmentation of crops. A detailed data pipeline and a classification approach based on …

Abstract: Semantic scene perception is critical for various applications, including railway systems where safety and efciency are paramount. Railway applications demand precise knowledge of the …

We proposed an indoor point cloud semantic segmentation network, named EGNet processes three types of 3D representations: points, voxels, and meshes. As picted in Figure 2, the network consists …

2 main levels of semantic analysis, document level and sentence level, though the only analysis method reviewed here that is capable of both are Neural Network based models.

Abstract: Semantic communication is an emerging approach that enhances transmission eficiency by conveying the semantic content of information more effectively.

Within the proposed approach, a spatial attention network (SANet) is used to achieve semantic segmentation of point clouds, and prior knowledge is used as guidance to establish environmental …

These systems typically use refractive, Fresnel, or diffractive optical elements (DOEs) to modulate incident light at the wavelength scale (12), followed by dense sensors and complex neural networks …

This detailed breakdown provides insight into how different semantic changes are represented and have evolved across various SM platforms. It helps to understand platform-specific language trends and …