Papers

Basic information

Name ENDO KAZUKI
Belonging department Management Information Course,Department of Business,Faculty of Humanities and Social Sciences
Occupation name Associate Professor
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Title 

ILIAC: Efficient classification of degraded images using knowledge distillation with cutout data augmentation

					

					

						

							

								

									
Bibliography怀Type 

									
								

							

						

						
Joint Author

					

					

						

							

								

									
Summary 

									
								

							

						

						
We numerically showed the effectiveness of the cutout data augmentation under the knowledge distillation to train the classifier of degraded images.  
There is no classification of writing assignments.
Dinesh Daultani, Masayuki Tanaka, Masatoshi Okutomi, Kazuki Endo

					

					

						

							

								

									
Magazine(name) 

									
								

							

						

						
Proceedings of IS&T Electronic Imaging 2023

					

					

						

							

								

									
Date of Issue 

									
								

							

						

						
202301