Results 71 to 80 of about 4,017 (161)

An Eyes-Based Siamese Neural Network for the Detection of GAN-Generated Face Images

Frontiers in Signal Processing, 2022
Generative Adversarial Network (GAN) models are nowadays able to generate synthetic images which are visually indistinguishable from the real ones, thus raising serious concerns about the spread of fake news and the need to develop tools to distinguish ...
Jun Wang , Benedetta Tondi, Mauro Barni   +2 more
doaj   +1 more source

Partial Discharge Diagnosis With Siamese Fusion Network

IEEE Access, 2022
Partial discharge is a common fault type in the operation of power equipment. Recently, deep learning methods have shown great potential in partial discharge (PD) diagnosis. These methods construct a fitting relationship between input and output with mass training samples.
Zhihong Huang, Wei Huang, Xianyong Xu, Jian Xiao   +3 more
openaire   +2 more sources

Remote sensing scene classification based on rotation-invariant feature learning and joint decision making

EURASIP Journal on Image and Video Processing, 2019
With the popular use of high-resolution satellite images, remote sensing scene classification has always been a hot research topic in its related areas. However, limited to the issues of remote sensing datasets including the small scale of scene classes,
Yong Zhou, Xuning Liu, Jiaqi Zhao, Ding Ma, Rui Yao, Bing Liu, Yi Zheng   +6 more
doaj   +1 more source

Masked Siamese Networks for Label-Efficient Learning

, 2022
We propose Masked Siamese Networks (MSN), a self-supervised learning framework for learning image representations. Our approach matches the representation of an image view containing randomly masked patches to the representation of the original unmasked image.
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas   +8 more
openaire   +2 more sources

Siamese Visual Tracking With Deep Features and Robust Feature Fusion

IEEE Access, 2020
Trackers based on fully-convolutional Siamese networks regard tracking as a process of learning a similarity function. By utilizing shallow networks and off-line training, Siamese trackers can achieve high tracking speed and perform well in some simple ...
Daqun Li, Xize Wang, Yi Yu
doaj   +1 more source

Interactive Instance Annotation with Siamese Networks

CoRR
Annotating instance masks is time-consuming and labor-intensive. A promising solution is to predict contours using a deep learning model and then allow users to refine them. However, most existing methods focus on in-domain scenarios, limiting their effectiveness for cross-domain annotation tasks.
Xiang Xu, Ruotong Li, Mengjun Yi, Baile Xu, Furao Shen, Jian Zhao 0013   +5 more
openaire   +2 more sources

Facial emotion recognition using deep Siamese neural networks: multi-classifier fusion for single-emotion and multi-emotion models across age groups

Journal of Big Data
This research examines facial expressions as social cues in online platforms, focusing on online learning and remote work. Our high-accuracy emotion recognition framework is designed for post-session evaluation, aiding teaching strategies and identifying
Tejas Rathod, Shruti Patil, Aniket K. Shahade, Prachi Kadam, Ambarish Kulkarni   +4 more
doaj   +1 more source

Fully-Convolutional Siamese Networks for Object Tracking [PDF]

, 2016
The first two authors contributed equally, and are listed in alphabetical order.
Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr   +4 more
openaire   +2 more sources

Comparative Analysis of Deep Learning-Based Feature Extractors for Change Detection in Automotive Radar Maps

IEEE Access
The Siamese network architecture has been applied by deep learning practitioners to find similarities between images. In the domain of autonomous driving, this network configuration has recently gained attention for solving the change detection task ...
Harihara Bharathy Swaminathan, Aron Sommer, Uri Iurgel, Andreas Becker, Martin Atzmueller   +4 more
doaj   +1 more source

Summarization of Spanish Talk Shows with Siamese Hierarchical Attention Networks

Applied Sciences, 2019
In this paper, we present an approach to Spanish talk shows summarization. Our approach is based on the use of Siamese Neural Networks on the transcription of the show audios.
J.-A. González, L.-F. Hurtado, E. Segarra, F. García-Granada, E. Sanchis   +4 more
doaj   +1 more source