Boosting Night-Time Scene Parsing With Learnable Frequency-Reference-Cited by-同舟云学术

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Boosting Night-Time Scene Parsing With Learnable Frequency

Published:2023 Issue: Volume:32 Page:2386-2398
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Xie Zhifeng¹^ORCID,Wang Sen¹^ORCID,Xu Ke²^ORCID,Zhang Zhizhong³^ORCID,Tan Xin³^ORCID,Xie Yuan³^ORCID,Ma Lizhuang³^ORCID

Affiliation:

1. Department of Film and Television Engineering, Shanghai University, Shanghai, China

2. Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China

3. School of Computer Science and Technology, East China Normal University, Shanghai, China

Funder

Shanghai Sailing Program

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

High-Level Talent Program for Innovation and Entrepreneurship (ShuangChuang Doctor) of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10105211.pdf?arnumber=10105211

Reference53 articles.

1. FDA: Fourier Domain Adaptation for Semantic Segmentation

2. CDAda: A Curriculum Domain Adaptation for Nighttime Semantic Segmentation

3. NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night

4. Night-Time Scene Parsing With a Large Real Dataset

5. Squeeze-and-Excitation Networks

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