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作者:Xinjie Feng , Hongxun Yao , Shengping Zhang
来源:[J].Signal, Image and Video Processing(IF 0.409), 2019, Vol.13 (5), pp.959-965Springer
摘要:Abstract(#br)DenseNet features dense connections between layers. Such an architecture is elegant but suffers memory-hungry and time-consuming. In this paper, we explore the relation between density of connections and performance of DenseNet (Huang et al., in: Proceedings of the I...
作者:Wenping Guo , Zhuoming Xu , Haibo Zhang
来源:[J].Multimedia Tools and Applications(IF 1.014), 2019, Vol.78 (21), pp.30615-30626Springer
摘要:... This paper presents an improved DenseNet called small kernel DenseNet (SK-DenseNet) to improve ILD classification performance. According to the characteristics of HRCT features of lung disease, the SK-DenseNet network is more effective to extract high level and small patholog...
作者:Qiang Liu , Xuyu Xiang , Jiaohua Qin ...
来源:[J].Knowledge-Based Systems(IF 4.104), 2020, Vol.192Elsevier
摘要:... On this basis, a novel coverless image steganography algorithm based on image retrieval of DenseNet features and DWT sequence mapping is proposed in this paper. Firstly, DenseNet convolutional neural network model in deep learning is used to extract the features of image d...
作者:Ximei Zeng , Guorui Feng , Xinpeng Zhang
来源:[J].Multimedia Tools and Applications(IF 1.014), 2019, Vol.78 (7), pp.8183-8196Springer
摘要:... In this paper, a modified version of DenseNet (densely connected convolutional networks) is proposed to accomplish the detection task of primary JPEG compression among double compressed images. A special filtering layer in the front of the network contains typically selected ...
作者:Sourour Brahimi , Najib Ben Aoun , Alexandre Benoit ...
来源:[J].Multimedia Tools and Applications(IF 1.014), 2019, Vol.78 (15), pp.22077-22098Springer
摘要:... In this paper, we will introduce a semantic segmentation system using a reinforced fully convolutional densenet with multiscale kernel prediction method. Our main contribution is to build an encoder-decoder based architecture where we increase the width of dense block in the ...
作者:Toan Duc Bui , Jitae Shin , Taesup Moon
来源:[J].Biomedical Signal Processing and Control(IF 1.074), 2019, Vol.54Elsevier
摘要:... The proposed network, called 3D-SkipDenseSeg, exploits the advantage of the recently DenseNet for classification task and extends this to segment the 6-month infant brain tissue segmentation of magnetic resonance imaging (MRI). Experimental results demonstrate a competitiv...
作者:Meenakshi Choudhary , Vivek Tiwari , Venkanna U.
来源:[J].Future Generation Computer Systems(IF 1.864), 2019, Vol.101, pp.1259-1270Elsevier
摘要:... DCLNet has been designed through a series of customizations over Densenet121 with the addition of Support Vector Machine (SVM) classifier on top. It accepts raw iris images without segmentation and normalization, nevertheless the impact of iris normalization on the propose...
作者:Qing Zhou , Zhiyong Zhou , Chunmiao Chen ...
来源:[J].Computers in Biology and Medicine(IF 1.162), 2019, Vol.107, pp.47-57Elsevier
摘要:...(#br)Purpose(#br)In this study, a novel deep neural network was developed by combining the squeeze-and-excitation networks (SENets) in a three-dimensional (3D) densely connected convolutional network (DenseNet), which is referred to as a 3D SE-DenseNet, for the classification ...
作者:Xiao Zhou , Zhenheng Tang , Weirong Xu ...
来源:[J].Water Research(IF 4.655), 2019, Vol.166Elsevier
摘要:... To address this, a novel Burst Location Identification Framework by Fully-linear DenseNet (BLIFF) is proposed. In this framework, additional pressure meters are placed at limited, optimised places for a short period (minutes to hours) to monitor system behaviour after the bur...
作者:Yixiong Liang , Zhihong Tang , Meng Yan ...
来源:[J].Biocybernetics and Biomedical Engineering(IF 0.208), 2018, Vol.38 (3), pp.661-670Elsevier
摘要:... We propose DFPN(Feature Pyramid Network with DenseNet) method to overcome the problem of class confusion in the USE images that it is hard to be solved by baseline model which is the state-of-the-art object detection model FPN with RoIAlign pooling. We explored the importance...

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