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 

Classifying Degraded Images Over Various Levels of Degradation

					

					

						

							

								

									
Bibliography怀Type 

									
								

							

						

						
Joint Author

					

					

						

							

								

									
Summary 

									
								

							

						

						
This paper proposed the ensemble network of a classification network trained with clean images and one trained with restored images where ensemble weights of the ensemble network depend on estimated degradation levels.
Kazuki Endo, Masayuki Tanaka, Masatoshi Okutomi

					

					

						

							

								

									
Magazine(name) 

									
								

							

						

						
IEEE International Conference on Image Processing 2020

					

					

						

							

								

									
Date of Issue 

									
								

							

						

						
202010