Abstract: Binary segmentation is used to distinguish objects of interest from background, and is an active area of convolutional encoder-decoder network research. The current decoders are designed for ...
Spaceborne Synthetic Aperture Radar (SAR) is a remote sensing sensor mounted on satellite platforms, offering image data with a wide spatial detection range and advantages such as all-weather, all-day ...
Alfatron Electronics, the Raleigh, N.C.-based, manufacturer, has introduced the ALF-IPK1HE 4K Networked Encoder and ALF-IPK1HD 4K Networked Decoder, designed for distributing high-quality AV signals ...
Add a description, image, and links to the convolutional-encoder-decoder topic page so that developers can more easily learn about it.
1 Guangxi Key Lab of Brain-Inspired Computing and Intelligent Chips, School of Electronic and Information Engineering, Guangxi Normal University, Guilin, China 2 Key Laboratory of Nonlinear Circuits ...
Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
Abstract: Jamming signal power detection (JPD) is a crucial step in wireless jamming cognition technology. By detecting the power values of multiple jamming signals, prior information can be provided ...
ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results