PatchNet: Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation-Reference-Cited by-同舟云学术

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PatchNet: Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation

Published:2023 Issue: Volume: Page:1-12
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhang Ke¹^ORCID,Chen Chen²^ORCID,Yuan Chun³^ORCID,Chen Sihong²,Wang Xinfeng⁴,He Xin¹

Affiliation:

1. Tsinghua Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China

2. Tencent, Shenzhen, China

3. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

4. Beijing Aerospace Measure and Control Corp (AMC). Ltd, Beijing Key Laboratory of High-Speed Transport Intelligent Diagnostic and Health Management, Beijing, China

Funder

National Key Research and Development Program of China

Shenzhen Science and Technology Innovation Commission

Shenzhen Key Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10153071.pdf?arnumber=10153071

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