Our proposed multi-level adversarial network (MLAN) improves domain adaptive semantic segmentation: MLAN adapts features at multiple levels for joint global ...
Mar 24, 2021 · This paper presents a novel multi-level adversarial network (MLAN) that aims to address inter-domain inconsistency at both global image level ...
Semantic segmentation enables pixel-wise scene understanding, which is crucial to many real-world applications such as autonomous driving. The recent surge of ...
Apr 25, 2024 · Figure 1: Our proposed multi-level adversarial network (MLAN) improves domain adaptive semantic segmentation: MLAN adapts features at multiple ...
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What is adversarial domain adaptation?
What is multi source domain adaptation?
Aug 14, 2023 · Domain adaptive methods can align the features of data in different domains, so that segmentation models can be migrated to data in other ...
Missing: semantic | Show results with:semantic
Mar 31, 2021 · This paper presents a novel multi-level adversarial network (MLAN) that aims to address inter-domain inconsistency at both global image level ...
In this paper, we propose to investigate multi-source domain adaptation for semantic segmentation. Specifically, we design a novel framework, termed Multi- ...
Missing: adaptive | Show results with:adaptive
In recent years, some UDA methods for semantic segmentation [3–5] have been proposed via adversarial training which relies on a discriminator to mea- sure the ...
To address the above challenges, in this paper we propose a novel framework, termed Multi-source. Adversarial Domain Aggregation Network (MADAN), which consists ...
Dec 7, 2023 · In this paper, we present a domain adaptation method for semantic segmentation in the context of autonomous vehicles.