Results 11 to 20 of about 5,009,941 (320)

Deep Spatial-Temporal Neural Network for Dense Non-Rigid Structure from Motion

Mathematics, 2022
Dense non-rigid structure from motion (NRSfM) has long been a challenge in computer vision because of the vast number of feature points. As neural networks develop rapidly, a novel solution is emerging.
Yaming Wang, Minjie Wang, Wenqing Huang, Xiaoping Ye, Mingfeng Jiang   +4 more
doaj   +1 more source

Infrared and Visible Image Fusion via Attention-Based Adaptive Feature Fusion

Entropy, 2023
Infrared and visible image fusion methods based on feature decomposition are able to generate good fused images. However, most of them employ manually designed simple feature fusion strategies in the reconstruction stage, such as addition or ...
Lei Wang, Ziming Hu, Quan Kong, Qian Qi, Qing Liao   +4 more
doaj   +1 more source

Evaluating the Space Use of Large Railway Hub Station Areas in Beijing toward Integrated Station-City Development

Land, 2021
With the large-scale construction of high-speed railways and the continuous increase in population flows, railway hubs are becoming the most dynamic places in cities.
Ying Liang, Wei Song, Xiaofeng Dong
doaj   +1 more source

Variation Characteristics of Temperature and Precipitation over the Southeast Xizang since 1960

Gaoyuan qixiang, 2023
This study used the daily temperature and precipitation data from 27 stations in southeast Xizang during 1960-2017 to study the characteristics of climate change in China， by using the linear trend test， Mann-Kendall test， wavelet analysis， and extreme ...
Chaoyue LI, Peng CUI, Jiansheng HAO, Guotao ZHANG, Jiao WANG, Yang JIA   +5 more
doaj   +1 more source

Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images

Remote Sensing, 2021
Deep learning models have brought great breakthroughs in building extraction from high-resolution optical remote-sensing images. Among recent research, the self-attention module has called up a storm in many fields, including building extraction. However,
Ziyi Chen, Dilong Li, Wentao Fan, Haiyan Guan, Cheng Wang, Jonathan Li   +5 more
doaj   +1 more source

An Energy-Aware and Predictive Fuzzy Logic-Based Routing Scheme in Flying Ad Hoc Networks (FANETs)

IEEE Access, 2021
Today, unmanned aerial vehicles (UAVs), also known as drones, have become very popular in military applications, commercial applications, and academic research. Flying ad hoc network (FANET) is a new type of ad hoc network, which groups small drones into
Sang-Woong Lee, Saqib Ali, Mohammad Sadegh Yousefpoor, Efat Yousefpoor, Pooia Lalbakhsh, Danial Javaheri, Amir Masoud Rahmani, Mehdi Hosseinzadeh   +7 more
doaj   +1 more source

Reading the Sufi Discourse in the Patterns and Design of Heriz Carpets: A Study from the Late 13th to the Late 14th Century [PDF]

هنرهای زیبا. هنرهای تجسمی
Sufism, a fundamental and influential discourse, has left its marks and legacy on Iranian literature and arts. In the intricate, populist, and multifaceted Sufi discourse prevalent in 19th-century Iran, particularly in Azerbaijan, a group of anonymous ...
Azam Rasooli, Kazem Chalipa, ali asghar shirazi, Seyed Jalal Eedin Bassam   +3 more
doaj   +1 more source

Building and road detection from remote sensing images based on weights adaptive multi-teacher collaborative distillation using a fused knowledge

International Journal of Applied Earth Observations and Geoinformation, 2023
Knowledge distillation is one effective approach to compress deep learning models. However, the current distillation methods are relatively monotonous. There are still rare studies about the combination of distillation strategies using multiple types of ...
Ziyi Chen, Liai Deng, Jing Gou, Cheng Wang, Jonathan Li, Dilong Li   +5 more
doaj   +1 more source

Pattern languages in HCI: A critical review [PDF]

, 2006
This article presents a critical review of patterns and pattern languages in human-computer interaction (HCI). In recent years, patterns and pattern languages have received considerable attention in HCI for their potential as a means for developing and ...
Anderson B., Anderson B., Andy Dearden, Barfield L., Bayle E., Beck K., Borchers J., Coad P., Fincher S., Garlan D., Janet Finlay, Kafura D., Saunders W. S.   +12 more
core   +2 more sources

Designing Network Design Spaces [PDF]

Computer Vision and Pattern Recognition, 2020
In this work, we present a new network design paradigm. Our goal is to help advance the understanding of network design and discover design principles that generalize across settings.
Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár   +4 more
semanticscholar   +1 more source