Rethinking Semantic Image Compression: Scalable Representation With Cross-Modality Transfer-Reference-Cited by-同舟云学术

Rethinking Semantic Image Compression: Scalable Representation With Cross-Modality Transfer

Author:

Zhang Pingping¹,Wang Shiqi¹^ORCID,Wang Meng¹^ORCID,Li Jiguo²^ORCID,Wang Xu³^ORCID,Kwong Sam¹^ORCID

Affiliation:

1. Department of Computer Science, City University of Hong Kong, Hong Kong, China

2. Institute of Computing Technology, University of Chinese Academy of Sciences, Beijing, China

3. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Shenzhen Natural Science Foundation

Hong Kong Innovation and Technology Commission

Project Centre for Intelligent Multidimensional Data Analysis

Hong Kong General Research Fund-Research Grants Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference24 articles.

2. CompressAI: A PyTorch library and evaluation platform for end-to-end compression research;bégaint;arXiv 2011 03029,2020

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2. Domain Adaptation for Image Segmentation with Category-Guide Classifier;2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE);2023-11-17

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