A Light in the Dark: Deep Learning Practices for Industrial Computer
Vision

A Light in the Dark: Deep Learning Practices for Industrial Computer Vision

6 January 2022

Maximilian Harl

Marvin Herchenbach

Patrick Zschech

Mathias Kraus

Papers citing "A Light in the Dark: Deep Learning Practices for Industrial Computer Vision"

12 / 12 papers shown

Title
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh Chawla 59 271 0 05 May 2021
A survey of image labelling for computer vision applications Christoph Sager Christian Janiesch Patrick Zschech VLM 58 69 0 18 Apr 2021
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 116 6,251 0 22 Oct 2019
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 148 2,450 0 06 Sep 2018
A Survey on Deep Transfer Learning Chuanqi Tan F. Sun Tao Kong Wenchang Zhang Chao Yang Chunfang Liu 66 2,584 0 06 Aug 2018
Deep learning in business analytics and operations research: Models, applications and managerial implications Mathias Kraus Stefan Feuerriegel A. Oztekin 54 290 0 28 Jun 2018
Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images S. Deitsch C. Buerhop‐Lutz E. Sovetkin A. Steland Andreas Maier F. Gallwitz Christian Riess 114 64 0 18 Jun 2018
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 440 43,635 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 396 43,619 0 01 May 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 352 25,621 0 09 Jun 2011