DCN-T: Dual context network with transformer for hyperspectral image classification
Hyperspectral image (HSI) classification is challenging due to spatial variability caused by
complex imaging conditions. Prior methods suffer from limited representation ability, as they …
complex imaging conditions. Prior methods suffer from limited representation ability, as they …
The metaverse as a virtual model of platform urbanism: its converging AIoT, XReality, neurotech, and nanobiotech and their applications, challenges, and risks
SE Bibri - Smart Cities, 2023 - mdpi.com
With their exponentially rising computational power, digital platforms are heralding a new
era of hybrid intelligence. There has recently been much enthusiasm and hype that the …
era of hybrid intelligence. There has recently been much enthusiasm and hype that the …
Ru-net: Regularized unrolling network for scene graph generation
Scene graph generation (SGG) aims to detect objects and predict the relationships between
each pair of objects. Existing SGG methods usually suffer from several issues, including 1) …
each pair of objects. Existing SGG methods usually suffer from several issues, including 1) …
Dsp: Dual soft-paste for unsupervised domain adaptive semantic segmentation
Unsupervised domain adaptation (UDA) for semantic segmentation aims to adapt a
segmentation model trained on the labeled source domain to the unlabeled target domain …
segmentation model trained on the labeled source domain to the unlabeled target domain …
Internet of intelligence: A survey on the enabling technologies, applications, and challenges
The Internet of Intelligence is conceived as an emerging networking paradigm, which will
make intelligence as easy to obtain as information. This paper provides an overview of the …
make intelligence as easy to obtain as information. This paper provides an overview of the …
Data-driven methods for detection of abnormal ship behavior: Progress and trends
Maritime traffic safety influences the development of world economies. A major aspect to
enhance maritime traffic safety is the effective detection of abnormal ship behavior (DASB) …
enhance maritime traffic safety is the effective detection of abnormal ship behavior (DASB) …
A promising integration of sdn and blockchain for iot networks: A survey
The state of computer network technologies has continually advanced at a rapid pace.
Software Defined Networking (SDN) and Blockchain (BC) have emerged as complementary …
Software Defined Networking (SDN) and Blockchain (BC) have emerged as complementary …
Contrastive graph poisson networks: Semi-supervised learning with extremely limited labels
Abstract Graph Neural Networks (GNNs) have achieved remarkable performance in the task
of semi-supervised node classification. However, most existing GNN models require …
of semi-supervised node classification. However, most existing GNN models require …
Coherence-aware context aggregator for fast video object segmentation
Semi-supervised video object segmentation (VOS) is a highly challenging problem that has
attracted much research attention in recent years. Temporal context plays an important role …
attracted much research attention in recent years. Temporal context plays an important role …
Does improved digital governance in government promote natural resource management? Quasi-natural experiments based on smart city pilots
K Chen, Q Li, M Shoaib, W Ameer, T Jiang - Resources Policy, 2024 - Elsevier
Based on panel data for 281 cities in China from 2007 to 2021, this paper uses the global
Malmquist‒Luenberger index to measure natural resource management. Using the smart …
Malmquist‒Luenberger index to measure natural resource management. Using the smart …