Results 251 to 260 of about 7,362,198 (297)

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation

International Journal of Computer Vision, 2020
Low-level details and high-level semantics are both essential to the semantic segmentation task. However, to speed up the model inference, current approaches almost always sacrifice the low-level details, leading to a considerable decrease in accuracy ...
Changqian Yu, Changxin Gao, Jingbo Wang, Gang Yu, Chunhua Shen, N. Sang   +5 more
semanticscholar   +1 more source

Semantic Flow Networks: Semantic Interoperability in Networks of Ontologies

2012
In an open context such as the Semantic Web, information providers usually rely on different ontologies to semantically characterize contents. In order to enable interoperability at a semantic level, ontologies underlying information sources must be linked by discovering alignments, that is, set of correspondences or mappings.
FIONDA, Valeria, PIRRO', GIUSEPPE
openaire   +2 more sources

On the Semantics of a Semantic Network [PDF]

Fundamenta Informaticae, 1998
We elaborate on the semantics of an enhanced object-oriented semantic network, where multiple instantiation, multiple specialization, and meta-classes are supported for both kinds of objects: entities and properties. By semantics of a semantic network, we mean the information (both explicit and derived) that the semantic network carries.
Analyti, Anastasia, Spyratos, Nicolas, Constantopoulos, Panos   +2 more
openaire   +2 more sources

SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness

IEEE/CAA Journal of Automatica Sinica, 2022
Image fusion aims to integrate complementary information in source images to synthesize a fused image comprehensively characterizing the imaging scene.
Linfeng Tang, Yuxin Deng, Yong Ma, Jun Huang, Jiayi Ma   +4 more
semanticscholar   +1 more source

ASNet: Adaptive Semantic Network Based on Transformer–CNN for Salient Object Detection in Optical Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing
Salient object detection in optical remote sensing images (RSI-SOD) has recently become a key area of research, driven by the unique challenges posed by specific imaging conditions.
Ruixiang Yan, Long-He Yan, Guohua Geng, Yufei Cao, Pengbo Zhou, Yongle Meng   +5 more
semanticscholar   +1 more source

Semantic-Supervised Infrared and Visible Image Fusion Via a Dual-Discriminator Generative Adversarial Network

IEEE transactions on multimedia, 2023
Image fusion synthesizes a new image from multiple images of the same scene. The synthesized image should be suitable for human visual perception and follow-up high-level image-processing tasks.
Huabing Zhou, Wei Wu, Yanduo Zhang, Jiayi Ma, Haibin Ling   +4 more
semanticscholar   +1 more source

Semantic social overlay networks

IEEE Journal on Selected Areas in Communications, 2007
Peer selection for query routing is a core task in peer-to-peer networks. Unstructured peer-to-peer systems (like Gnutella) ignore this problem, leading to an abundance of network traffic. Structured peer-to-peer systems (like Chord) enforce a particular, global way of distributing data among the peers in order to solve this problem, but then encounter
Tempich, C., Löser, A., Staab, S.
openaire   +1 more source

GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation

IEEE Transactions on Image Processing, 2021
Semantic segmentation is a fundamental task in computer vision, and it has various applications in fields such as robotic sensing, video surveillance, and autonomous driving.
Wujie Zhou, Jinfu Liu, Jingsheng Lei, Lu Yu, Jenq-Neng Hwang   +4 more
semanticscholar   +1 more source

Semantic hidden Markov networks

2nd International Conference on Spoken Language Processing (ICSLP 1992), 1992
Although much effort has been put into speech understanding systems there still exists a rather wide gap between acoustic recognition and linguistic interpretation. We propose a formalism for an extremely close interaction of acoustic recognition and higher level analysis.
Fink, Gernot A., Kummert, Franz, Sagerer, Gerhard, Schukat-Talamazzini, E. G., Niemann, Heinrich   +4 more
openaire   +2 more sources

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

BrainLes@MICCAI, 2022
Semantic segmentation of brain tumors is a fundamental medical image analysis task involving multiple MRI imaging modalities that can assist clinicians in diagnosing the patient and successively studying the progression of the malignant entity. In recent
Ali Hatamizadeh, V. Nath, Yucheng Tang, Dong Yang, H. Roth, Daguang Xu   +5 more
semanticscholar   +1 more source