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U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss
  in Multi-class Segmentation for Corrosion Identification

U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification

18 September 2018
Ty Nguyen
Tolga Özaslan
Ian D. Miller
J. Keller
Giuseppe Loianno
Camillo J Taylor
Daniel D. Lee
Vijay Kumar
Joseph H. Harwood
J. Wozencraft
ArXivPDFHTML

Papers citing "U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification"

13 / 13 papers shown
Title
Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells
Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells
F. Guerrero-Peña
Pedro Diamel Marrero Fernández
Ing Ren Tsang
M. Yui
E. Rothenberg
Alexandre Cunha
36
74
0
21 Feb 2018
Fast, Autonomous Flight in GPS-Denied and Cluttered Environments
Fast, Autonomous Flight in GPS-Denied and Cluttered Environments
K. Mohta
Michael Watterson
Yash Mulgaonkar
Sikang Liu
Chao Qu
...
Giuseppe Loianno
Davide Scaramuzza
Kostas Daniilidis
Camillo J Taylor
Vijay Kumar
45
196
0
06 Dec 2017
A systematic study of the class imbalance problem in convolutional
  neural networks
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda
A. Maki
Maciej A. Mazurowski
211
2,367
0
15 Oct 2017
Focal Loss for Dense Object Detection
Focal Loss for Dense Object Detection
Nayeon Lee
Priya Goyal
Ross B. Girshick
Kaiming He
Piotr Dollár
ObjD
112
2,996
0
07 Aug 2017
Synthesizing Training Data for Object Detection in Indoor Scenes
Synthesizing Training Data for Object Detection in Indoor Scenes
G. Georgakis
Arsalan Mousavian
Alexander C. Berg
Jana Kosecka
3DPC
ObjD
60
205
0
25 Feb 2017
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
242
18,232
0
02 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
431
18,350
0
27 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
738
37,846
0
20 May 2016
Using Deep Learning for Image-Based Plant Disease Detection
Using Deep Learning for Image-Based Plant Disease Detection
Sharada Mohanty
David P. Hughes
M. Salathé
39
3,117
0
11 Apr 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,798
0
02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,133
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,289
0
11 Feb 2015
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
P. Sermanet
Koray Kavukcuoglu
Soumith Chintala
Yann LeCun
SSL
93
828
0
01 Dec 2012
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