I3cl: Intra-and inter-instance collaborative learning for arbitrary-shaped scene text detection
Existing methods for arbitrary-shaped text detection in natural scenes face two critical
issues, ie,(1) fracture detections at the gaps in a text instance; and (2) inaccurate detections …
issues, ie,(1) fracture detections at the gaps in a text instance; and (2) inaccurate detections …
[HTML][HTML] Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform: Pioneering data-driven environmental governance
SE Bibri, J Huang, J Krogstie - Sustainable Cities and Society, 2024 - Elsevier
Emerging smarter eco-cities, inherently intertwined with environmental governance, function
as experimental sites for testing novel technological solutions and implementing …
as experimental sites for testing novel technological solutions and implementing …
A digital twin-based drone-assisted secure data aggregation scheme with federated learning in artificial intelligence of things
Artificial intelligence of things (AIoT) has brought new promises of efficiency in our daily lives
by integrating AI with the IoT. However, owing to limited resources (eg, computational …
by integrating AI with the IoT. However, owing to limited resources (eg, computational …
Referring image matting
Different from conventional image matting, which either requires user-defined
scribbles/trimap to extract a specific foreground object or directly extracts all the foreground …
scribbles/trimap to extract a specific foreground object or directly extracts all the foreground …
An overview on generative AI at scale with Edge-Cloud Computing
As a specific category of artificial intelligence (AI), generative artificial intelligence (GenAI)
generates new content that resembles what humans create. The rapid development of …
generates new content that resembles what humans create. The rapid development of …
Exploring figure-ground assignment mechanism in perceptual organization
Perceptual organization is a challenging visual task that aims to perceive and group the
individual visual element so that it is easy to understand the meaning of the scene as a …
individual visual element so that it is easy to understand the meaning of the scene as a …
Dreaming to prune image deraining networks
Convolutional image deraining networks have achieved great success while suffering from
tremendous computational and memory costs. Most model compression methods require …
tremendous computational and memory costs. Most model compression methods require …
Jperceiver: Joint perception network for depth, pose and layout estimation in driving scenes
Depth estimation, visual odometry (VO), and bird's-eye-view (BEV) scene layout estimation
present three critical tasks for driving scene perception, which is fundamental for motion …
present three critical tasks for driving scene perception, which is fundamental for motion …
CrowdHMT: crowd intelligence with the deep fusion of human, machine, and IoT
Mobile crowd sensing and computing (MCSC) has become a hot research area in recent
years. This article presents our vision of the next generation of MCSC, crowd intelligence …
years. This article presents our vision of the next generation of MCSC, crowd intelligence …
[HTML][HTML] Feddp: A privacy-protecting theft detection scheme in smart grids using federated learning
In smart grids (SGs), the systematic utilization of consumer energy data while maintaining its
privacy is of paramount importance. This research addresses this problem by energy theft …
privacy is of paramount importance. This research addresses this problem by energy theft …