Jul 6, 2022 · We design temporal pseudo supervision (TPS), a simple and effective method that explores the idea of consistency training for learning effective ...
Abstract. Video semantic segmentation has achieved great progress under the supervision of large amounts of labelled training data. How- ever, domain ...
Nov 3, 2022 · We design temporal pseudo supervision (TPS), a simple and effective method that explores the idea of consistency training for learning effective ...
Jul 4, 2022 · A simple and effective method that explores the idea of consistency training for learning effective representations from unlabelled target videos.
Jul 6, 2022 · We design temporal pseudo supervision (TPS), a simple and effective method that explores the idea of consistency training for learning effective ...
Video semantic segmentation is an essential task for the analysis and understanding of videos. Recent efforts largely focus on supervised video segmentation ...
This paper presents DA-VSN, a domain adaptive video segmentation network that addresses domain gaps in videos by temporal consistency regularization (TCR)
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People also ask
What is temporal video segmentation?
Is it necessary to transfer temporal knowledge for domain adaptive video semantic segmentation?
What is video semantic segmentation?
In static scenes, the core research focus is on aligning the source domain and target domain using distribution matching methods such as adversarial ...
It is a new framework that introduces temporal consistency regularization (TCR) to address domain shifts in domain adaptive video segmentation.
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To study this, we benchmark a comprehensive set of Video-DAS techniques from the literature, including a video-level domain discriminator, the ACCEL video ...