Anomaly detection and automatic labeling for solar cell quality inspection based on Generative Adversarial Network

5 March 2021

Papers citing "Anomaly detection and automatic labeling for solar cell quality inspection based on Generative Adversarial Network"

10 / 10 papers shown

Title
Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm Martin Mayr M. Hoffmann Andreas Maier Vincent Christlein UQCV 94 48 0 30 Jan 2020
Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network Haiyong Chen Yue Pang Qidi Hu Kun Liu 96 158 0 15 Dec 2018
Anomaly Detection using Deep Learning based Image Completion Matthias Haselmann D. Gruber Paul Tabatabai UQCV 31 106 0 16 Nov 2018
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 46 357 0 08 Jul 2018
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders Xiaoran Chen E. Konukoglu MedIm 51 264 0 13 Jun 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 57 1,377 0 17 May 2018
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation Yunjey Choi Min-Je Choi M. Kim Jung-Woo Ha Sunghun Kim Jaegul Choo GAN 96 3,547 0 24 Nov 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 130 9,509 0 31 Mar 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.2K 76,547 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 806 149,474 0 22 Dec 2014