Jan. 17, 2022, 2:10 a.m. | Jonghwan Mun, Minchul Shin, Gunsoo Han, Sangho Lee, Seongsu Ha, Joonseok Lee, Eun-Sol Kim

cs.CV updates on arXiv.org arxiv.org

Self-supervised learning has drawn attention through its effectiveness in
learning in-domain representations with no ground-truth annotations; in
particular, it is shown that properly designed pretext tasks (e.g., contrastive
prediction task) bring significant performance gains for downstream tasks
(e.g., classification task). Inspired from this, we tackle video scene
segmentation, which is a task of temporally localizing scene boundaries in a
video, with a self-supervised learning framework where we mainly focus on
designing effective pretext tasks. In our framework, we discover a …

arxiv cv learning segmentation self-supervised learning supervised learning video

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