Articles | Volume 13, issue 1 
            
                
                    
                    
                        
            
            
            
        https://doi.org/10.5194/jsss-13-63-2024
                    © Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.
                Special issue:
                        
                    Cutout as augmentation in contrastive learning for detecting burn marks in plastic granules
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        J. Sens. Sens. Syst., 13, 187–209,  2024
                                    
                                    
                            J. Sens. Sens. Syst., 11, 277–285,  2022
                                    
                                    
                            J. Sens. Sens. Syst., 10, 153–162,  2021
                                    
                                    
                            J. Sens. Sens. Syst., 9, 143–155,  2020
                                    
                                    
                            J. Sens. Sens. Syst., 7, 183–192,  2018
                                    
                                    
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                        Chen, T., Kornblith, S., Norouzi, M., and Hinton, G.: A simple framework for contrastive learning of visual representations, in: International conference on machine learning, PMLR, 12 July 2020, Vienna, Austria, 1597–1607, arXiv [preprint], https://doi.org/10.48550/arXiv.2011.02578, 4 November 2020. 
                    
                
                        
                        DeVries, T. and Taylor, G. W.: Improved regularization of convolutional neural networks with cutout, arXiv [preprint], https://doi.org/10.48550/arXiv.1708.04552, 15 August 2017. 
                    
                
                        
                        Gidaris, S., Singh, P., and Komodakis, N.: Unsupervised representation learning by predicting image rotations, arXiv [preprint], https://doi.org/10.48550/arXiv.1803.07728, 21 March 2018. 
                    
                 
 
                        
                                         
                        
                                         
                        
                                         
                        
                                         
                        
                                         
             
             
             
            