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Jul 8, 2021 · In this paper, we propose a novel self-supervised method for video representation learning, referred to as Video 3D Sampling (V3S). In order ...
A novel self-supervised method for video representation learning, referred to as Video 3D Sampling (V3S), which combines the sampling of the three ...
In this paper, we propose a novel self-supervised representation learning approach referred to as video 3D Sampling (V3S). As shown in Fig. 1, our goal is ...
In this paper, we propose a novel self-supervised method for video representation learning, referred to as Video 3D Sampling (V3S). In order to sufficiently ...
Comparatively, for tasks over skeleton data which represent a person by 3D coordinate positions of key joints, it becomes very challenging to leverage SSL.
Video for Video 3D Sampling for Self-supervised Representation Learning.
Duration: 47:16
Posted: Dec 5, 2022
Missing: Sampling | Show results with:Sampling
Official implementation of ACMMM'20 paper 'Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework' - BestJuly/IIC.
The objective of this paper is visual-only self-supervised video representation learn- ing. We make the following contributions: (i) we investigate the ...
Self-supervised video representation learning aimed at max- imizing similarity between different temporal segments of one video, in order to enforce feature ...
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No-reference (NR) video quality assessment (VQA) is a challenging problem due to the difficulty in model training caused by insufficient annotation samples.