Efficient Decoder and Intermediate Domain for Semantic Segmentation in Adverse Conditions

Efficient Decoder and Intermediate Domain for Semantic Segmentation in Adverse Conditions

In smart city contexts, traditional methods for semantic segmentation are affected by adverse conditions, such as rain, fog, or darkness. One challenge is the limited availability of semantic segmentation datasets, specifically for autonomous driving in adverse conditions, and the high cost of label...

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Bibliographic Details
Main Authors: Xiaodong Chen, Nan Jiang, Yifeng Li, Guangliang Cheng, Zheng Liang, Zuobin Ying, Qi Zhang, Runsheng Zhao
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Smart Cities
Subjects:
domain-adaptive
intermediate domain
Fourier transform
light-weight decoder
smart cities
Online Access:https://www.mdpi.com/2624-6511/7/1/11

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https://www.mdpi.com/2624-6511/7/1/11

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