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This study focuses on unsupervised temporal segmentation problem in egocentric vision video. •. A self-supervised learning model that leverages the temporal ...
Feb 27, 2024 · This study focuses on unsupervised temporal segmentation problem in egocentric vision video. •. A self-supervised learning model that leverages ...
Aakur, S.N., Sarkar, S., 2019. A Perceptual Prediction Framework for Self Supervised Event Segmentation. In: Proceedings of IEEE/CVF Conference on Computer ...
Jan 17, 2024 · This paper introduces a novel approach named CrossVideo, which aims to enhance self-supervised cross-modal contrastive learning in the field ...
Sep 27, 2023 · Given an egocentric video, action temporal segmentation aims to temporally segment the video into basic units, each depicting an action.
Egocentric Action Recognition by Automatic Relation Modeling
www.researchgate.net › ... › Egocentrism
We form a weakly supervised framework by unifying automatic interactor localization and explicit relation modeling for the purpose of automatic relation ...
The ability to locate and classify action segments in long untrimmed video is of particular interest to many applications such as autonomous cars, ...
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Temporal relational modeling in video is essential for hu- man action understanding, such as action recognition and ac- tion segmentation.
Missing: autoencoder | Show results with:autoencoder
1 From these diverse views, we propose a novel, end-to-end, self-supervised method for learning features by matching multi-temporal patches covering the same ...
In this study, we propose a temporal-aware clustering method for egocentric action temporal segmentation: a self-supervised temporal autoencoder (SSTAE).