Depth Guidance and Intradomain Adaptation for Semantic Segmentation-Reference-Cited by-同舟云学术

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Depth Guidance and Intradomain Adaptation for Semantic Segmentation

Published:2023 Issue: Volume:72 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Lu Jiawen¹^ORCID,Shi Jinlong¹^ORCID,Zhu Haowei¹^ORCID,Ni Jun¹^ORCID,Shu Xin¹^ORCID,Sun Yunhan²^ORCID,Cheng Zhigang³^ORCID

Affiliation:

1. College of Computer Science and Technology, Jiangsu University of Science and Technology, Zhenjiang, China

2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

3. School of Software Technology, Zhejiang University, Hangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10042450.pdf?arnumber=10042450

Reference50 articles.

1. Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation

2. DADA: Depth-Aware Domain Adaptation in Semantic Segmentation

3. SPIGAN: Privileged adversarial learning from simulation;lee;arXiv 1810 03756,2018

4. Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach

5. Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training

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