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检索条件"主题词=Encoder-Decoder architecture"
140 条 记 录,以下是111-120 订阅
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Data Repair Without Prior Knowledge Using Deep Convolutional Neural Networks
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IEEE ACCESS 2020年 8卷 105351-105361页
作者: Qie, Youtian Song, Ping Hao, Chuangbo Beijing Inst Technol Key Lab Biomimet Robots & Syst Minist Educ Beijing 100081 Peoples R China Beijing Jinghang Computat & Commun Res Inst Beijing 100074 Peoples R China
In recent years, the use of wireless sensor networks has become increasingly widespread. Because of the instability of wireless networks, packet loss occasionally occurs. To reduce the impact of packet loss on data in... 详细信息
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Automated hair removal in dermoscopy images using shallow and deep learning neural architectures
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Computer Methods and Programs in Biomedicine Update 2023年 4卷
作者: Delibasis, Konstantinos Moutselos, Konstantinos Vorgiazidou, Eleftheria Maglogiannis, Ilias Dept of Computer Science and Biomedical Informatics University of Thessaly Lamia Greece Dept. of Digital Systems University of Piraeus 80 Karaoli & Dimitriou Str Piraeus 18534 Greece
Removing hair from digital dermoscopy images is occasionally a necessary step before further analysis is applied to the images. This work considers two machine learning approaches that segment the hair pixels from der... 详细信息
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Detecting multi-stage attacks using sequence-to-sequence model
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COMPUTERS & SECURITY 2021年 105卷 102203-102203页
作者: Zhou, Peng Zhou, Gongyan Wu, Dakui Fei, Minrui Shanghai Univ Shanghai Key Lab Power Stn Automat Technol Shanghai Peoples R China
Multi-stage attack is a kind of sophisticated intrusion strategy that has been widely used for penetrating the well protected network infrastructures. To detect such attacks, state-of-theart research advocates the use... 详细信息
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DP-LinkNet: A convolutional network for historical document image binarization
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KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 2021年 第5期15卷 1778-1797页
作者: Xiong, Wei Jia, Xiuhong Yang, Dichun Ai, Meihui Li, Lirong Wang, Song Hubei Univ Technol Sch Elect & Elect Engn Wuhan 430068 Hubei Peoples R China Univ South Carolina Dept Comp Sci & Engn Columbia SC 29201 USA
Document image binarization is an important pre-processing step in document analysis and archiving. The state-of-the-art models for document image binarization are variants of encoder-decoder architectures, such as FC... 详细信息
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Deep learning based response generation using emotion feature extraction
Deep learning based response generation using emotion featur...
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IEEE International Conference on Big Data and Smart Computing (BigComp)
作者: Lee, Young-Jun Choi, Ho-Jin Korea Adv Inst Sci & Technol Sch Comp Daejeon South Korea
Neural response generation is to generate human-like response given human utterance by using a deep learning. In the previous studies, expressing emotion in response generation improve user performance, user engagemen... 详细信息
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CRVOS: CLUE REFINING NETWORK FOR VIDEO OBJECT SEGMENTATION
CRVOS: CLUE REFINING NETWORK FOR VIDEO OBJECT SEGMENTATION
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IEEE International Conference on Image Processing (ICIP)
作者: Cho, Suhwan Cho, MyeongAh Chung, Tae-young Lee, Heansung Lee, Sangyoun Yonsei Univ Seoul South Korea
The encoder-decoder based methods for semi-supervised video object segmentation (Semi-VOS) have received extensive attention due to their superior performances. However, most of them have complex intermediate networks... 详细信息
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Upsampling Matters for Road Marking Segmentation of Autonomous Driving  3rd
Upsampling Matters for Road Marking Segmentation of Autonomo...
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3rd IFAC Workshop pn Cyber-Physical and Human Systems (CPHS)
作者: Liu, Ye Zhang, Xi Liu, Lei Zhang, Lei Shanghai Jiao Tong Univ Sch Mech Engn Shanghai Peoples R China CSSC Beijing Peoples R China
Although autonomous driving have become applicable to the industry, the prevalent application of key techniques to the autonomous vehicles still needs to be refined. For instance, how to fast and accurately segment ro... 详细信息
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Automatic delamination segmentation for bridge deck based on encoder-decoder deep learning through UAV-based thermography
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NDT & E INTERNATIONAL 2020年 116卷 102341-102341页
作者: Cheng, Chongsheng Shang, Zhexiong Shen, Zhigang Univ Nebraska Durham Sch Architectural Engn & Construct 122 NH Lincoln NE 68588 USA Univ Nebraska Durham Sch Architectural Engn & Construct 113 NH Lincoln NE 68588 USA
Concrete deck delamination often demonstrates strong variations in size, shape, and temperature distribution under the influences of outdoor weather conditions. The strong variations create challenges for pure analyti... 详细信息
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Can We Make A More Efficient UNet for Blood Vessel Segmentation?
Can We Make A More Efficient UNet for Blood Vessel Segmentat...
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Conference on Applications of Machine Learning
作者: Liu, Qiong Zhong, Ziming Sengupta, Sourya Lakshminarayanan, Vasudevan Huazhong Univ Sci & Technol Dept Biomed Engn Wuhan Peoples R China Dalian Univ Technol Dept Elect Informat & Elect Engn Dalian Peoples R China Univ Waterloo Sch Optometry & Vis Sci Theoret & Expt Epistemol Lab Waterloo ON Canada Univ Waterloo Dept Syst Design Engn Waterloo ON Canada
Blood vessel segmentation is an important step in the automated diagnosis of ophthalmic disease from retinal fundus images. The UNet is a popular encoder-decoder architecture widely used in biomedical pixel-wise segme... 详细信息
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MEDA: Multi-output encoder-decoder for Spatial Attention in Convolutional Neural Networks  53
MEDA: Multi-output Encoder-Decoder for Spatial Attention in ...
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53rd Asilomar Conference on Signals, Systems, and Computers (ACSSC)
作者: Li, Huayu Razi, Abolfazl No Arizona Univ Sch Informat Comp & Cyber Syst Flagstaff AZ 86011 USA
Utilizing channel-wise spatial attention mechanisms to emphasize special parts of an input image is an effective method to improve the performance of convolutional neural networks (CNNs). There are multiple effective ... 详细信息
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