Progressive Deep Image Compression for Hybrid Contexts of Image Classification and Reconstruction-Reference-Cited by-同舟云学术

Progressive Deep Image Compression for Hybrid Contexts of Image Classification and Reconstruction

Author:

Lei Zhongyue¹^ORCID,Duan Peng¹,Hong Xuemin¹^ORCID,Mota Joao F. C.²^ORCID,Shi Jianghong¹,Wang Cheng-Xiang³

Affiliation:

1. School of Informatics, Xiamen University, Xiamen, China

2. School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, U.K

3. National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China

Funder

NSFC

Science and Technology Key Project of Fujian Province

Xiamen Special Fund for Marine and Fishery Development

National Key Research and Development Program of China

Key Technologies R&D Program of Jiangsu

Frontiers Science Center for Mobile Information Communication and Security

EU H2020 RISE TESTBED2 project

EPSRSC's NIA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference73 articles.

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4. Microsoft COCO: Common objects in context;lin;Proc Eur Conf Comput Vis (ECCV),2014

5. High-fidelity generative image compression;mentzer;arXiv 2006 09965,2020

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