[Retracted] AGTH‐Net: Attention‐Based Graph Convolution‐Guided Third‐Order Hourglass Network for Sports Video Classification
M Gao, W Cai, R Liu - Journal of Healthcare Engineering, 2021 - Wiley Online Library
As a hot research topic, sports video classification research has a wide range of applications
in switched TV, video on demand, smart TV, and other fields and is closely related to …
in switched TV, video on demand, smart TV, and other fields and is closely related to …
HAVANA: Hierarchical stochastic neighbor embedding for Accelerated Video ANnotAtions
A Bobe, JC van Gemert - arXiv preprint arXiv:2409.10641, 2024 - arxiv.org
Video annotation is a critical and time-consuming task in computer vision research and
applications. This paper presents a novel annotation pipeline that uses pre-extracted …
applications. This paper presents a novel annotation pipeline that uses pre-extracted …
A Tour of Visualization Techniques for Computer Vision Datasets
B Alsallakh, P Bhattacharya, V Feng… - arXiv preprint arXiv …, 2022 - arxiv.org
We survey a number of data visualization techniques for analyzing Computer Vision (CV)
datasets. These techniques help us understand properties and latent patterns in such data …
datasets. These techniques help us understand properties and latent patterns in such data …
PUNet: Temporal Action Proposal Generation With Positive Unlabeled Learning Using Key Frame Annotations
NUS Zia, OS Kayhan… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Popular approaches to classifying action segments in long, realistic, untrimmed videos start
with high quality action proposals. Current action proposal methods based on deep learning …
with high quality action proposals. Current action proposal methods based on deep learning …
[PDF][PDF] Edgelabel: A video annotation method for moving camera using edge devices
Currently, AI edge device is becoming the trend in real-time object detection. However, one
of the disadvantages of current object detection models is the limitation of objects or the lack …
of the disadvantages of current object detection models is the limitation of objects or the lack …