BIOENGINEER

Enhancing BNN storage and performance requirements via efficient quantization and variable encoding

Binary neural networks have long promised to bring deep learning to the smallest and most power-hungry devices on the planet.
BIOENGINEER

Vision Transformers Team Up With CNNs to Sharpen Blurry Ultrasound Images

Korean researchers have built a hybrid Vision Transformer and CNN generative model that enhances ultrasound image quality ...
Scientific Research Publishing

Badrinarayanan, V., Kendall, A. and Cipolla, R. (2017) SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. IEEE Transactions on Pattern Analysis ...

ABSTRACT: The nearly analytic discretization of the frequency-domain wave equation produces large-scale, sparse, and ill-conditioned linear system, which challenge conventional iterative solvers. To ...
blog.csdn

MATLAB Simulink 卷积码

本内容遵循CC 4.0 BY-SA版权协议 卷积码这玩意儿在通信系统里算是老熟人了，但真要在Simulink里搭个能跑的模型，新手绝对会被某些细节坑到。今天咱们直接上实操，手把手教你用Simulink搭个能 ...
quantumzeitgeist

Quantum CNN & Vision Transformer: 99.77% Accuracy

Image classification currently relies on powerful, yet classically constrained, computational methods, but researchers are now exploring quantum machine learning as a potential pathway to significant ...
science

Attention-based map encoding for learning generalized legged locomotion

Dynamic locomotion of legged robots is a critical yet challenging topic in expanding the operational range of mobile robots. It requires precise planning when possible footholds are sparse, robustness ...
IEEE

Supervised Convolutional Encoder-Decoder With Gated Linear Units for Detecting Fetal R-Peaks

Abstract: Noninvasive fetal electrocardiography (ECG) is prevalently used for monitoring fetal heartbeats during pregnancy due to its affordability, ease of use, and constant monitoring capability. A ...
Scientific Research Publishing

Chollampatt, S. and Ng, H.T. (2018) A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction. Proceedings of the AAAI Conference on Artificial ...

ABSTRACT: With the widespread use of Chinese globally, the number of Chinese learners has been increasing, leading to various grammatical errors among beginners. Additionally, as domestic efforts to ...
blog.csdn

【图像去噪】论文精读：Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections（REDNet）

起源： 2014年，Sutskever提出的简单Enc-Dec模型 paper：Sequence to Sequence Learning with Neural Network 解决sequence to sequence转换的问题，采用了编码和解码的结构 其中，编码是将source sequence转化为一个context ...
IEEE

Optimizing the Hyperparameters of Fully Convolutional Encoder–Decoder Networks for SAR Image Segmentation

Abstract: Fully convolutional encoder-decoder networks have been developed for the segmentation of sensing synthetic aperture radar (SAR) images. A recent one called the multiscaled attention U-net ...