Results 271 to 280 of about 6,781,577 (302)

Background Subtraction via 3D Convolutional Neural Networks

2018 24th International Conference on Pattern Recognition (ICPR), 2018
Background subtraction can be treated as the binary classification problem of highlighting the foreground region in a video whilst masking the background region, and has been broadly applied in various vision tasks such as video surveillance and traffic monitoring.
Yongqiang Gao, Huayue Cai, Xiang Zhang 0008, Long Lan, Zhigang Luo   +4 more
openaire   +2 more sources

3D Convolutional Neural Networks for Facial Expression Classification

2017
In this paper, the general rules of designing 3D Convolutional Neural Networks are discussed. Four specific networks are designed for facial expression classification problem. Decisions of the four networks are fused together. The single networks and the ensemble network are evaluated on the extended Cohn-Kanade dataset, achieve accuracies of 92.31 ...
Wenyun Sun, Haitao Zhao 0002, Zhong Jin
openaire   +2 more sources

Human action recognition with 3D convolutional neural network

2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2017
In the last decade, there was a development of technologies that allowed the possibility of storing and processing large amounts of data. Due to this, there was a considerable increase in the use of video cameras. Areas such as surveillance, traffic control, and entertainment, presented a greater demand for the development of techniques for analysis ...
Tiago Lima, Bruno J. T. Fernandes, Pablo V. A. Barros   +2 more
openaire   +2 more sources

3D sketch-based 3D model retrieval with convolutional neural network

2016 23rd International Conference on Pattern Recognition (ICPR), 2016
3D sketch-based 3D model retrieval is to retrieve similar 3D models using users' hand-drawn 3D sketches as input. Compared with traditional 2D sketch-based retrieval, 3D sketch-based 3D model retrieval is a brand new and challenging research topic.
Yuxiang Ye, Bo Li 0013, Yijuan Lu
openaire   +2 more sources

Video Steganography Using 3D Convolutional Neural Networks

2019
In an steganography we intend to hide information of interest in another data, aiming at secure data transaction, such as hiding an image in another image. The same task could be performed in video steganography. One approach to steganography is through manipulating least significant bits (LSB). Increasing the precision of the approaches in this regard,
Mahdi Abdolmohammadi, Rahil Mahdian Toroghi, Azam Bastanfard   +2 more
openaire   +1 more source

A 3D Implementation of Convolutional Neural Network for Fast Inference

2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023
Narasinga Rao Miniskar, Pruek Vanna-Iampikul, Aaron R. Young, Sung Kyu Lim, Frank Liu 0001, Jieun Yoo, Corrinne Mills, Nhan Tran, Farah Fahim, Jeffrey S. Vetter   +9 more
openaire   +2 more sources

A lightweight 3D convolutional neural network for deepfake detection

International Journal of Intelligent Systems, 2021
Jiarui Liu 0002, Kaiman Zhu, Wei Lu 0001, Xiangyang Luo 0001, Xianfeng Zhao   +4 more
openaire   +1 more source

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

ACM Computing Surveys, 2022
Claudio Filipi Goncalves dos Santos, João P Papa   +1 more
exaly  

A Review on 3D Convolutional Neural Network

2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA), 2023
openaire   +1 more source

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

IEEE Transactions on Neural Networks and Learning Systems, 2022
Fan Liu, Zewen Li
exaly