Results 41 to 50 of about 25,441 (258)

MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images [PDF]

, 2019
The analysis of glandular morphology within colon histopathology images is an important step in determining the grade of colon cancer. Despite the importance of this task, manual segmentation is laborious, time-consuming and can suffer from subjectivity ...
Chen, Hao, Dou, Qi, Gamper, Jevgenij, Graham, Simon, Heng, Pheng-Ann, Rajpoot, Nasir, Snead, David, Tsang, Yee Wah   +7 more
core   +2 more sources

Multi-Scale Dilated Convolution Network Based Depth Estimation in Intelligent Transportation Systems

IEEE Access, 2019
Vision based depth estimation plays a significant role in Intelligent Transportation Systems (ITS) because of its low cost and high efficiency, which can be used to analyze driving environment, improve driving safety, etc.
Yanling Tian, Qieshi Zhang, Ziliang Ren, Fuxiang Wu, Pengyi Hao, Jinglu Hu   +5 more
doaj   +1 more source

Deep-Learning-Based Remaining Useful Life Prediction Based on a Multi-Scale Dilated Convolution Network

Mathematics, 2021
Remaining useful life (RUL) prediction of key components is an important influencing factor in making accurate maintenance decisions for mechanical systems. With the rapid development of deep learning (DL) techniques, the research on RUL prediction based
Feiyue Deng, Yan Bi, Yongqiang Liu, Shaopu Yang   +3 more
doaj   +1 more source

Transformable Dilated Convolution by Distance for LiDAR Semantic Segmentation

IEEE Access, 2022
LiDAR semantic segmentation is essential in autonomous vehicle safety. A rotating 3D LiDAR projects more laser points onto nearby objects and fewer points onto farther objects.
Jae-Seol Lee, Tae-Hyoung Park
doaj   +1 more source

Mapping of plastic greenhouses and mulching films from very high resolution remote sensing imagery based on a dilated and non-local convolutional neural network

International Journal of Applied Earth Observations and Geoinformation, 2021
As the important components of modern facility agriculture, both plastic greenhouses and mulching films have been widely utilized in agriculture production.
Quanlong Feng, Bowen Niu, Boan Chen, Yan Ren, Dehai Zhu, Jianyu Yang, Jiantao Liu, Cong Ou, Baoguo Li   +8 more
doaj   +1 more source

Smoke Recognition Method Based on Dilated Convolution and Dense Connection [PDF]

Jisuanji gongcheng, 2020
In order to better extract the global features of smoke images,this paper proposes a smoke recognition method based on dilated convolution and dense connection.The method stacks in order the expansion convolutions with different expansion rates to expand
CHENG Guangtao, GONG Jiachang, ZHAO Hongwei
doaj   +1 more source

Understanding Convolution for Semantic Segmentation

, 2018
Recent advances in deep learning, especially deep convolutional neural networks (CNNs), have led to significant improvement over previous semantic segmentation systems.
Chen, Pengfei, Cottrell, Garrison, Hou, Xiaodi, Huang, Zehua, Liu, Ding, Wang, Panqu, Yuan, Ye   +6 more
core   +1 more source

Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation

, 2018
Semantic Segmentation using deep convolutional neural network pose more complex challenge for any GPU intensive task. As it has to compute million of parameters, it results to huge memory consumption.
Kamran, Sharif Amit, Sabbir, Ali Shihab
core   +1 more source

HarmoF0: Logarithmic Scale Dilated Convolution for Pitch Estimation

2022 IEEE International Conference on Multimedia and Expo (ICME), 2022
This paper is accepted by ...
Wei, Weixing, Li, Peilin, Yu, Yi, Li, Wei   +3 more
openaire   +2 more sources

Dense Dilated Convolutions’ Merging Network for Land Cover Classification [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2020
Semantic Segmentation, 12 pages, TGRS-2020 early access in IEEE Transactions on Geoscience and Remote Sensing.
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Borre Salberg   +3 more
openaire   +3 more sources