Results 51 to 60 of about 20,816 (168)

AISMSNet: Advanced Image Splicing Manipulation Identification Based on Siamese Networks

Applied Sciences
The exponential surge in specialized image editing software has intensified visual forgery, with splicing attacks emerging as a popular forgery technique.
Ana Elena Ramirez-Rodriguez, Rodrigo Eduardo Arevalo-Ancona, Hector Perez-Meana, Manuel Cedillo-Hernandez, Mariko Nakano-Miyatake   +4 more
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Chart Classification Using Siamese CNN

Journal of Imaging, 2021
In recovering information from the chart image, the first step should be chart type classification. Throughout history, many approaches have been used, and some of them achieve results better than others.
Filip Bajić, Josip Job
doaj   +1 more source

Siamese tracking combing frequency channel attention with adaptive template

IET Communications, 2021
Siamese network based the tracker is a hot topic in the field of visual object tracking. However, Siamese trackers still have a robustness gap compared with state‐of‐the‐art algorithms. Therefore, focusing on the issue, this letter adds Frequency Channel
Haibo Pang, Meiqin Xie, Chengming Liu, Rongqi Ma, Linxuan Han   +4 more
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Data Clustering Improves Siamese Neural Networks Classification of Parkinson’s Disease

Complexity, 2021
Parkinson’s disease (PD) is a clinical neurodegenerative disease having symptoms like tremor, rigidity, and postural disability. According to Harvard, about 60,000 of American citizens are diagnosed with PD yearly, with more than 10 million people ...
Mohamed Shalaby, Nahla A. Belal, Yasser Omar   +2 more
doaj   +1 more source

Content-Based Representations of Audio Using Siamese Neural Networks [PDF]

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
In this paper, we focus on the problem of content-based retrieval for audio, which aims to retrieve all semantically similar audio recordings for a given audio clip query. This problem is similar to the problem of query by example of audio, which aims to retrieve media samples from a database, which are similar to the user-provided example.
Manocha, Pranay, Badlani, Rohan, Kumar, Anurag, Shah, Ankit, Elizalde, Benjamin, Raj, Bhiksha   +5 more
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Image Retrieval and Pattern Spotting using Siamese Neural Network [PDF]

2019 International Joint Conference on Neural Networks (IJCNN), 2019
This paper presents a novel approach for image retrieval and pattern spotting in document image collections. The manual feature engineering is avoided by learning a similarity-based representation using a Siamese Neural Network trained on a previously prepared subset of image pairs from the ImageNet dataset.
Wiggers, Kelly L., Jr, Alceu Britto, Heutte, Laurent, Koerich, Alessandro, Oliveira, Luiz S.   +4 more
openaire   +3 more sources

Deep template matching for offline handwritten Chinese character recognition

The Journal of Engineering, 2019
Just like its remarkable achievements in many computer vision tasks, the convolutional neural networks provide an end-to-end solution in handwritten Chinese character recognition (HCCR) with great success.
Zhiyuan Li, Yi Xiao, Qi Wu, Min Jin, Huaxiang Lu   +4 more
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Semantic Textual Similarity with Siamese Neural Networks

Proceedings - Natural Language Processing in a Deep Learning World, 2019
Calculating the Semantic Textual Similarity (STS) is an important research area in natural language processing which plays a significant role in many applications such as question answering, document summarisation, information retrieval and information extraction.
Ranasinghe, Tharindu, Orasan, Constantin, Mitkov, Ruslan   +2 more
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INVARIANT DESCRIPTOR LEARNING USING A SIAMESE CONVOLUTIONAL NEURAL NETWORK [PDF]

ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
In this paper we describe learning of a descriptor based on the Siamese Convolutional Neural Network (CNN) architecture and evaluate our results on a standard patch comparison dataset. The descriptor learning architecture is composed of an input module, a Siamese CNN descriptor module and a cost computation module that is based on the L2 Norm. The cost
L. Chen, F. Rottensteiner, C. Heipke
openaire   +3 more sources

Deep Spatial-Temporal Joint Feature Representation for Video Object Detection

Sensors, 2018
With the development of deep neural networks, many object detection frameworks have shown great success in the fields of smart surveillance, self-driving cars, and facial recognition. However, the data sources are usually videos, and the object detection
Baojun Zhao, Boya Zhao, Linbo Tang, Yuqi Han, Wenzheng Wang   +4 more
doaj   +1 more source