Results 21 to 30 of about 28,970 (210)
Invertible DenseNets with Concatenated LipSwish
, 2021 We introduce Invertible Dense Networks (i-DenseNets), a more parameter efficient extension of Residual Flows. The method relies on an analysis of the Lipschitz continuity of the concatenation in DenseNets, where we enforce invertibility of the network by satisfying the Lipschitz constant.
Perugachi-Diaz, Yura +2 more
openaire +3 more sources
Applied Sciences, 2020 We propose a source separation architecture using dilated time-frequency DenseNet for background music identification of broadcast content. We apply source separation techniques to the mixed signals of music and speech. For the source separation purpose,
Woon-Haeng Heo, Hyemi Kim, Oh-Wook Kwon
doaj +1 more source
Modified YOLOv4-DenseNet Algorithm for Detection of Ventricular Septal Defects in Ultrasound Images.
International Journal of Interactive Multimedia and Artificial Intelligence, 2021 Doctors conventionally analyzed echocardiographic images for diagnosing congenital heart diseases (CHDs). However, this process is laborious and depends on the experience of the doctors.
Shih Hsin Chen +5 more
doaj +1 more source
Log-DenseNet: How to Sparsify a DenseNet
, 2017 Skip connections are increasingly utilized by deep neural networks to improve accuracy and cost-efficiency. In particular, the recent DenseNet is efficient in computation and parameters, and achieves state-of-the-art predictions by directly connecting each feature layer to all previous ones.
Hu, Hanzhang +4 more
openaire +2 more sources
, 2018 Humans make accurate decisions by interpreting complex data from multiple sources. Medical diagnostics, in particular, often hinge on human interpretation of multi-modal information. In order for artificial intelligence to make progress in automated, objective, and accurate diagnosis and prognosis, methods to fuse information from multiple medical ...
Mahmood, Faisal +3 more
openaire +2 more sources
Dense Model for Automatic Image Description Generation with Game Theoretic Optimization
Information, 2019 Due to the rapid growth of deep learning technologies, automatic image description generation is an interesting problem in computer vision and natural language generation. It helps to improve access to photo collections on social media and gives guidance
Sreela S R, Sumam Mary Idicula
doaj +1 more source
A new detection model of microaneurysms based on improved FC-DenseNet
Scientific Reports, 2022 Diabetic retinopathy (DR) is a frequent vascular complication of diabetes mellitus and remains a leading cause of vision loss worldwide. Microaneurysm (MA) is usually the first symptom of DR that leads to blood leakage in the retina.
Zhenhua Wang +5 more
doaj +1 more source
CROWD: An SDN Approach for DenseNets
2013 Second European Workshop on Software Defined Networks, 2013 Traffic demands in mobile networks are expected to grow substantially in the next years, both in terms of total traffic volume and of bit-rate required by individual users. It is generally agreed that the only possible solution to overcome the current limitations is to deploy very dense and heterogeneous wireless networks, which we call DenseNets ...
Ali-Ahmad H. +7 more
openaire +2 more sources
IEEE Access, 2020 It is difficult to recognize Automatic Link Establishment (ALE) behaviors of a short-wave radio station, if we do not acquire the radio station's communication protocol standard.
Zilong Wu +3 more
doaj +1 more source
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network
, 2020 Pedestrian intention recognition is very important to develop robust and safe autonomous driving (AD) and advanced driver assistance systems (ADAS) functionalities for urban driving.
Andreasson, Kajsa +15 more
core +1 more source