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Harmonizing output imbalance for defect segmentation on
  extremely-imbalanced photovoltaic module cells images
v1v2v3v4 (latest)

Harmonizing output imbalance for defect segmentation on extremely-imbalanced photovoltaic module cells images

10 November 2022
Jianye Yi
Xiaopin Zhong
Weixiang Liu
Zongze Wu
Yuanlong Deng
Zhengguang Wu
ArXiv (abs)PDFHTML

Papers citing "Harmonizing output imbalance for defect segmentation on extremely-imbalanced photovoltaic module cells images"

23 / 23 papers shown
Title
A Survey on Long-Tailed Visual Recognition
A Survey on Long-Tailed Visual Recognition
Lu Yang
He Jiang
Q. Song
Jun Guo
78
129
0
27 May 2022
DRAEM -- A discriminatively trained reconstruction embedding for surface
  anomaly detection
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
Vitjan Zavrtanik
Matej Kristan
D. Skočaj
84
612
0
17 Aug 2021
Inpainting Transformer for Anomaly Detection
Inpainting Transformer for Anomaly Detection
Jonathan Pirnay
K. Chai
ViT
169
167
0
28 Apr 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViTMedIm
178
1,607
0
18 Mar 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to
  handle class imbalanced medical image segmentation
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung
Evis Sala
Carola-Bibiane Schönlieb
L. Rundo
71
407
0
08 Feb 2021
A survey of loss functions for semantic segmentation
A survey of loss functions for semantic segmentation
Shruti Jadon
SSeg
67
840
0
26 Jun 2020
A Survey on Deep Learning-based Architectures for Semantic Segmentation
  on 2D images
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
Irem Ülkü
Erdem Akagündüz
SSeg
73
192
0
21 Dec 2019
Fully Convolutional Networks for Chip-wise Defect Detection Employing
  Photoluminescence Images
Fully Convolutional Networks for Chip-wise Defect Detection Employing Photoluminescence Images
M. L. Stern
M. Schellenberger
46
26
0
06 Oct 2019
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection
Domen Tabernik
Samo Sela
J. Skvarc
D. Skočaj
49
694
0
20 Mar 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
116
1,011
0
21 Feb 2019
Solar Cell Surface Defect Inspection Based on Multispectral
  Convolutional Neural Network
Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network
Haiyong Chen
Yue Pang
Qidi Hu
Kun Liu
104
160
0
15 Dec 2018
A Novel Focal Tversky loss function with improved Attention U-Net for
  lesion segmentation
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation
Nabila Abraham
N. Khan
SSegMedIm
68
703
0
18 Oct 2018
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced
  Object Sizes
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes
Ken C. L. Wong
Mehdi Moradi
Hui Tang
Tanveer Syeda-Mahmood
3DVSSeg
53
191
0
31 Aug 2018
Automatic segmentation of the spinal cord and intramedullary multiple
  sclerosis lesions with convolutional neural networks
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
C. Gros
B. Leener
A. Badji
J. Maranzano
Dominique Eden
...
J. Doyon
T. Shepherd
Erik Charlson
S. Narayanan
Julien Cohen-Adad
60
219
0
16 May 2018
Combo Loss: Handling Input and Output Imbalance in Multi-Organ
  Segmentation
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation
Saeid Asgari Taghanaki
Yefeng Zheng
S. Kevin Zhou
Bogdan Georgescu
Puneet Sharma
Daguang Xu
Dorin Comaniciu
Ghassan Hamarneh
79
336
0
08 May 2018
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
122
2,146
0
11 Jul 2017
Tversky loss function for image segmentation using 3D fully
  convolutional deep networks
Tversky loss function for image segmentation using 3D fully convolutional deep networks
S. Salehi
Deniz Erdogmus
Ali Gholipour
MedIm
57
833
0
18 Jun 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
232
8,481
0
17 Jun 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,015
0
04 Dec 2016
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully
  Convolutional Neural Networks and 3D Conditional Random Fields
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
P. Christ
M. Elshaer
Florian Ettlinger
S. Tatavarty
Marc Bickel
...
Felix O. Hofmann
M. D’Anastasi
Wieland H. Sommer
Seyed-Ahmad Ahmadi
Bjoern Menze
MedIm
61
633
0
07 Oct 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 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
15,802
0
02 Nov 2015
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image
  Segmentation and Cosegmentation
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation
Erik Cambria
Fanman Meng
Jianfei Cai
Shijian Lu
SSeg3DV
85
230
0
03 Feb 2015
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