Revisiting Domain-Adaptive Semantic Segmentation via Knowledge Distillation

IF 10.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Image Processing Pub Date : 2024-11-22 DOI:10.1109/tip.2024.3501076

Seongwon Jeong, Jiyeong Kim, Sungheui Kim, Dongbo Min

引用次数: 0

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通过知识提炼重新审视领域自适应语义分割

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来源期刊

IEEE Transactions on Image Processing 工程技术-工程：电子与电气

CiteScore

20.90

自引率

6.60%

发文量

774

审稿时长

7.6 months

期刊介绍： The IEEE Transactions on Image Processing delves into groundbreaking theories, algorithms, and structures concerning the generation, acquisition, manipulation, transmission, scrutiny, and presentation of images, video, and multidimensional signals across diverse applications. Topics span mathematical, statistical, and perceptual aspects, encompassing modeling, representation, formation, coding, filtering, enhancement, restoration, rendering, halftoning, search, and analysis of images, video, and multidimensional signals. Pertinent applications range from image and video communications to electronic imaging, biomedical imaging, image and video systems, and remote sensing.