Addressing materials' microstructure diversity using transfer learning

29 July 2021

Papers citing "Addressing materials' microstructure diversity using transfer learning"

31 / 31 papers shown

Title
An analysis of the transfer learning of convolutional neural networks for artistic images Nicolas Gonthier Y. Gousseau Saïd Ladjal 32 18 0 05 Nov 2020
DACS: Domain Adaptation via Cross-domain Mixed Sampling Wilhelm Tranheden Viktor Olsson Juliano Pinto Lennart Svensson 70 356 0 17 Jul 2020
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision Fei Pan Inkyu Shin François Rameau Seokju Lee In So Kweon SSL 54 370 0 16 Apr 2020
FDA: Fourier Domain Adaptation for Semantic Segmentation Yanchao Yang Stefano Soatto OOD 68 891 0 11 Apr 2020
Targeted transfer learning to improve performance in small medical physics datasets M. Romero Y. Interian T. Solberg Gilmer Valdes OOD 39 48 0 14 Dec 2019
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis Yifan Zhang Ying Wei P. Zhao Shuaicheng Niu Qingyao Wu Mingkui Tan Junzhou Huang OOD 52 145 0 17 Nov 2019
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation Tuan-Hung Vu Himalaya Jain Max Bucher Matthieu Cord P. Pérez 110 1,283 0 30 Nov 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 100 1,081 0 21 Nov 2018
Cats or CAT scans: transfer learning from natural or medical image source datasets? Veronika Cheplygina OOD MedIm 55 58 0 12 Oct 2018
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 118 1,958 0 18 Sep 2018
Recognition in Terra Incognita Sara Beery Grant Van Horn Pietro Perona 65 835 0 13 Jul 2018
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel Brian L. DeCost Bo Lei T. Francis Elizabeth A. Holm AI4CE 32 143 0 04 May 2018
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss Qi Dou Cheng Ouyang Cheng Chen Hao Chen Pheng-Ann Heng MedIm 40 296 0 29 Apr 2018
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs Xinyu Wang Yufei Ye Abhinav Gupta 137 586 0 21 Mar 2018
Learning to Adapt Structured Output Space for Semantic Segmentation Yi-Hsuan Tsai Wei-Chih Hung S. Schulter Kihyuk Sohn Ming-Hsuan Yang Manmohan Chandraker OOD SSeg 110 1,535 0 28 Feb 2018
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize Andrew P. Aitken C. Ledig Lucas Theis Jose Caballero Zehan Wang Wenzhe Shi 53 179 0 10 Jul 2017
Advanced Steel Microstructural Classification by Deep Learning Methods Seyedmajid Azimi D. Britz M. Engstler Mario Fritz F. Mücklich 44 362 0 20 Jun 2017
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? Nima Tajbakhsh Jae Y. Shin S. Gurudu R. T. Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang 150 2,508 0 02 Jun 2017
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks Wenjie Luo Yujia Li R. Urtasun R. Zemel HAI 68 1,789 0 15 Jan 2017
The More You Know: Using Knowledge Graphs for Image Classification Kenneth Marino Ruslan Salakhutdinov Abhinav Gupta GNN OCL 76 345 0 14 Dec 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 216 19,796 0 07 Oct 2016
Playing for Data: Ground Truth from Computer Games Stephan R. Richter Vibhav Vineet Stefan Roth V. Koltun VLM 103 2,002 0 07 Aug 2016
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 187 18,136 0 02 Jun 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 689 11,540 0 06 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.2K 76,547 0 18 May 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 148 8,309 0 06 Nov 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 218 5,990 0 26 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 943 99,991 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 257 43,290 0 01 May 2014
Semisupervised Classifier Evaluation and Recalibration Peter Welinder Max Welling Pietro Perona 74 1 0 08 Oct 2012