ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.11766
  4. Cited By
CellDefectNet: A Machine-designed Attention Condenser Network for
  Electroluminescence-based Photovoltaic Cell Defect Inspection

CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection

25 April 2022
Carol Xu
M. Famouri
Gautam Bathla
Saeejith Nair
M. Shafiee
Alexander Wong
ArXiv (abs)PDFHTML

Papers citing "CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection"

20 / 20 papers shown
Title
TinyDefectNet: Highly Compact Deep Neural Network Architecture for
  High-Throughput Manufacturing Visual Quality Inspection
TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection
M. Shafiee
M. Famouri
Gautam Bathla
Francis Li
Alexander Wong
47
3
0
29 Nov 2021
PANDA: Adapting Pretrained Features for Anomaly Detection and
  Segmentation
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
Tal Reiss
Niv Cohen
Liron Bergman
Yedid Hoshen
72
252
0
12 Oct 2020
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via
  Visual Attention Condensers
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers
A. Wong
M. Famouri
M. Shafiee
53
20
0
30 Sep 2020
TinySpeech: Attention Condensers for Deep Speech Recognition Neural
  Networks on Edge Devices
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices
A. Wong
M. Famouri
Maya Pavlova
Siddharth Surana
108
33
0
10 Aug 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
880
42,463
0
28 May 2020
Classification-Based Anomaly Detection for General Data
Classification-Based Anomaly Detection for General Data
Liron Bergman
Yedid Hoshen
54
351
0
05 May 2020
Designing Network Design Spaces
Designing Network Design Spaces
Ilija Radosavovic
Raj Prateek Kosaraju
Ross B. Girshick
Kaiming He
Piotr Dollár
GNN
102
1,693
0
30 Mar 2020
Learning Fast and Robust Target Models for Video Object Segmentation
Learning Fast and Robust Target Models for Video Object Segmentation
Andreas Robinson
Felix Järemo Lawin
Martin Danelljan
Fahad Shahbaz Khan
Michael Felsberg
VOS
113
142
0
27 Feb 2020
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural
  Network for Object Detection
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection
A. Wong
M. Famouri
M. Shafiee
Muqun Li
Brendan Chwyl
Khaldoun Zine El Abidine
ObjD
48
108
0
03 Oct 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
164
18,193
0
28 May 2019
Making Convolutional Networks Shift-Invariant Again
Making Convolutional Networks Shift-Invariant Again
Richard Y. Zhang
OOD
93
798
0
25 Apr 2019
FermiNets: Learning generative machines to generate efficient neural
  networks via generative synthesis
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis
A. Wong
M. Shafiee
Brendan Chwyl
Francis Li
34
64
0
17 Sep 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
128
3,018
0
31 Jul 2018
Automatic Classification of Defective Photovoltaic Module Cells in
  Electroluminescence Images
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
S. Deitsch
Vincent Christlein
S. Berger
C. Buerhop‐Lutz
Andreas Maier
F. Gallwitz
Christian Riess
62
360
0
08 Jul 2018
NetScore: Towards Universal Metrics for Large-scale Performance Analysis
  of Deep Neural Networks for Practical On-Device Edge Usage
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage
A. Wong
HAI
57
68
0
14 Jun 2018
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
369
27,253
0
20 Mar 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
141
2,975
0
08 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
724
37,033
0
08 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,529
0
04 Sep 2014
1