Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors

Contour Evolution ◽

Instance Segmentation

Vehicle Instance Segmentation From Aerial Image and Video Using a Multitask Learning Residual Fully Convolutional Network

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2018.2841808 ◽

2018 ◽

Vol 56 (11) ◽

pp. 6699-6711 ◽

Cited By ~ 35

Author(s):

Lichao Mou ◽

Xiao Xiang Zhu

Keyword(s):

Multitask Learning ◽

Aerial Image ◽

Convolutional Network ◽

Instance Segmentation

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) ◽

TernausNetV2: Fully Convolutional Network for Instance Segmentation

10.1109/cvprw.2018.00042 ◽

2018 ◽

Cited By ~ 23

Author(s):

Vladimir Iglovikov ◽

Selim Seferbekov ◽

Alexander Buslaev ◽

Alexey Shvets

Keyword(s):

Convolutional Network ◽

Instance Segmentation

Seismic Images Interpretation to Discover Salt Domes Using Deep Fully Convolutional Network

Journal of Physics Conference Series ◽

10.1088/1742-6596/1818/1/012006 ◽

2021 ◽

Vol 1818 (1) ◽

pp. 012006

Author(s):

Shms Aldeen S. Al-Duri ◽

Amel H. Abbas

Keyword(s):

Convolutional Network ◽

Salt Domes ◽

Seismic Images

Downlink Channel State Information Limited Feedback Using Fully Convolutional Network

2021 IEEE Wireless Communications and Networking Conference (WCNC) ◽

10.1109/wcnc49053.2021.9417350 ◽

2021 ◽

Author(s):

Guanghui Fan ◽

Zhengran He ◽

Jinlong Sun ◽

Guan Gui ◽

Haris Gacanin ◽

...

Keyword(s):

Channel State Information ◽

Limited Feedback ◽

Channel State ◽

Convolutional Network ◽

State Information ◽

MaskNet: A Fully-Convolutional Network to Estimate Inlier Points

2020 International Conference on 3D Vision (3DV) ◽

10.1109/3dv50981.2020.00113 ◽

2020 ◽

Author(s):

Vinit Sarode ◽

Animesh Dhagat ◽

Rangaprasad Arun Srivatsan ◽

Nicolas Zevallos ◽

Simon Lucey ◽

...

Keyword(s):

Convolutional Network ◽

Parallel Fully Convolutional Network for Semantic Segmentation

IEEE Access ◽

10.1109/access.2020.3042254 ◽

2021 ◽

Vol 9 ◽

pp. 673-682

Author(s):

Jian Ji ◽

Xiaocong Lu ◽

Mai Luo ◽

Minghui Yin ◽

Qiguang Miao ◽

...

Keyword(s):

Semantic Segmentation ◽

Convolutional Network ◽

Optimization of Fully Convolutional Network for Road Safety Attribute Detection

IEEE Access ◽

10.1109/access.2021.3108543 ◽

2021 ◽

pp. 1-1

Author(s):

Pubudu Sanjeewani ◽

Brijesh Verma

Keyword(s):

Road Safety ◽

Convolutional Network ◽

Image Tampering Localization Using a Dense Fully Convolutional Network

IEEE Transactions on Information Forensics and Security ◽

10.1109/tifs.2021.3070444 ◽

2021 ◽

pp. 1-1

Author(s):

Peiyu Zhuang ◽

Haodong Li ◽

Shunquan Tan ◽

Bin Li ◽

Jiwu Huang

Keyword(s):

Convolutional Network ◽

Image Tampering ◽

Tampering Localization

2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) ◽

Locating Texts in Images by Fully Convolutional Network with Bounding Text Labeling

10.1109/icce-taiwan49838.2020.9258333 ◽

2020 ◽

Author(s):

Yu-Hung Hou ◽

Guan-Xin Zeng ◽

Po-Chyi Su

Keyword(s):

Convolutional Network ◽

Detecting subsurface drainage pipes using a fully convolutional network with optical images

Agricultural Water Management ◽

10.1016/j.agwat.2021.106791 ◽

2021 ◽

Vol 249 ◽

pp. 106791

Author(s):

Homin Song ◽

Dong Kook Woo ◽

Qina Yan

Keyword(s):

Subsurface Drainage ◽

Convolutional Network ◽

Optical Images