Nov 30, 2022 · In this paper, we propose an end-to-end Deep Spatial-Temporal Network (DstNet) for action recognition and localisation.
DstNet: : deep spatial-temporal network for real-time action ...
dl.acm.org › doi › ijwmc.2022.127597
Jan 1, 2022 · In this paper, we propose an end-to-end Deep Spatial-Temporal Network (DstNet) for action recognition and localisation. First of all, the ...
In this paper, we propose an end-to-end Deep Spatial-Temporal Network (DstNet) for action recognition and localisation. First of all, the untrimmed video is ...
Abstract: Action recognition is a hot research direction of computer vision. How to deal with human action in untrimmed video in real time is a very ...
Zhi Liu, Junting Li, Xian Wang: DstNet: deep spatial-temporal network for real-time action recognition and localisation in untrimmed video. Int. J. Wirel.
DstNet: deep spatial-temporal network for real-time action recognition and localisation in untrimmed video. Zhi Liu; Junting Li; Xian Wang DOI: 10.1504/IJWMC ...
We develop a deep discriminative spatial and temporal network to facilitate the spatial and temporal feature exploration for better video deblurring.
Mar 3, 2019 · This paper proposes a novel deep neural network model for solving the spatio-temporal-action-detection problem, by localizing all ...
Missing: DstNet: | Show results with:DstNet:
Sep 30, 2021 · This paper provides an extensive overview of deep learning-based algorithms to tackle temporal action detection in untrimmed videos with different supervision ...
Missing: DstNet: network time
This paper presents a computationally efficient approach for temporal action detection in untrimmed videos that outperforms state-of-the-art methods by a large�...