[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 …

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 …

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 …

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 …

[PDF][PDF] Edgelabel: A video annotation method for moving camera using edge devices

HT To, KHN Bui, CL Le - Proceedings of the 2nd International Conference on … - ceur-ws.org
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 …

[PDF][PDF] HAVANA

A Bobe - repository.tudelft.nl
For posterity, it must be noted what a dynamic time to do research in Deep Learning is.
There are so many papers being published at all times, that keeping track of every …

[引用][C] Deep Learning for Dense Interpretation of Video: Survey of Various Approach, Challenges, Datasets and Metrics