Papers

Basic information

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

Semantic Segmentation of Degraded Images Using Layer-Wise Feature Adjustor

					

					

						

							

								

									
Bibliography怀Type 

									
								

							

						

						
Joint Author

					

					

						

							

								

									
Summary 

									
								

							

						

						
This paper proposes the layer-wise feature adjustor of semantic segmentation for degraded images with various levels of degradation.
The proposed method can recognize not only degraded images but also clean images well.
Kazuki Endo, Masayuki Tanaka, Masatoshi Okutomi

					

					

						

							

								

									
Magazine(name) 

									
								

							

						

						
IEEE/CVF Winter Conference on Applications of Computer Vision

					

					

						

							

								

									
Date of Issue 

									
								

							

						

						
202301