Aug 18, 2023 · Abstract:We propose a unified point cloud video self-supervised learning framework for object-centric and scene-centric data.
In this paper, we propose a unified point-based con- trastive prediction framework, termed as PointCPSC, for self-supervised learning on point cloud videos. We ...
We propose a unified point cloud video self-supervised learning framework for object-centric and scene-centric data. Previous methods commonly conduct ...
This paper proposes a selection strategy to retain proper negatives and make use of high-similarity samples from other instances as positive supplements for ...
May 6, 2023 · In this paper, we propose a contrastive mask prediction (PointCMP) framework for self-supervised learning on point cloud videos. Specifically, ...
In this paper, we develop a self-supervised learning framework termed PointCMP for point cloud videos. Our. PointCMP unifies the complementary advantages of ...
Apr 29, 2024 · ... Recently, more and more self-learning methods [36,46] are proposed to learn the spatio-temporal representations of point cloud videos. Some ...
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Is contrastive learning unsupervised or self supervised?
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In this paper, we propose a Masked Spatio-Temporal Structure Prediction (MaST-Pre) method to capture the structure of point cloud videos without human ...
We propose a unified point cloud video self-supervised learning framework for object-centric and scene-centric data. Previous methods commonly conduct ...
Unlike the previous methods, we propose a new self- supervised paradigm for modeling point cloud videos. We combine the advantages of contrastive learning and ...