In this paper, we propose Temporality-guided Masked Image Consistency (TgMIC), a simple yet effective approach that leverages the concept of Masked Image ...
Unlike random masking strategy applied in traditional MIM, TgMIC introduces a novel temporality-guided masking strategy that samples the mask according to the ...
Jul 1, 2024 · MIC (Hoyer et al. 2023) leverages masked images to learn contextual relations for domain adaptation, further extending masked image modeling ...
Dec 11, 2023 · Temporality-guided Masked Image Consistency for Domain Adaptive Video Segmentation. Zunhao Zhang 1. ,. ZHENHAO CHEN 2.
This paper argues that it is not necessary to transfer temporal knowledge since the temporal continuity of video segmentation in the target domain can be ...
This work designs cross-frame pseudo labelling to provide pseudo supervision from previous video frames while learning from the augmented current video ...
Temporality-guided Masked Image Consistency for Domain Adaptive Video Segmentation. Conference Paper. Dec 2023. Zunhao Zhang · Zhenhao Chen · Yifan ...
However, domain adaptive image segmentation does not consider temporal information in videos which is very im- portant in video semantic segmentation. The ...
Missing: Masked | Show results with:Masked
Aug 20, 2024 · To address these issues, we propose a training strategy Masked Video Consistency, which enhances spatial and temporal feature aggregation. MVC ...
Wu et al. (Wu et al., 2022) also encourages temporal consistency, and includes an image level domain discriminator. Shin et al. (Shin ...
Missing: Temporality- | Show results with:Temporality-