Results 61 to 70 of about 21,191 (172)
Matching Natural Language Sentences with Hierarchical Sentence Factorization
, 2018 Semantic matching of natural language sentences or identifying the relationship between two sentences is a core research problem underlying many natural language tasks.
Han, Fred X. +5 more
core +1 more source
AISMSNet: Advanced Image Splicing Manipulation Identification Based on Siamese Networks
Applied SciencesThe exponential surge in specialized image editing software has intensified visual forgery, with splicing attacks emerging as a popular forgery technique.
Ana Elena Ramirez-Rodriguez +4 more
doaj +1 more source
A Siamese Network Based U-Net for Change Detection in High Resolution Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Remote sensing image change detection (RSICD) is a technique that explores the change of surface coverage in a certain time series by studying the difference between multiple remote sensing images (RSIs) collected over the same area.
Tao Chen +5 more
doaj +1 more source
, 2018 Designing an end-to-end deep learning network to match the biometric features with limited training samples is an extremely challenging task. To address this problem, we propose a new way to design an end-to-end deep CNN framework i.e., PVSNet that works
Jaswal, Gaurav +3 more
core +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 +4 more
doaj +1 more source
Siamese Neural Networks for Wireless Positioning and Channel Charting [PDF]
2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2019 Presented at Allerton 2019; 8 ...
Lei, Eric +5 more
openaire +4 more sources
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 +2 more
doaj +1 more source
Explanation of Siamese Neural Networks for Weakly Supervised Learning
Computing and Informatics, 2020 A new method for explaining the Siamese neural network (SNN) as a black-box model for weakly supervised learning is proposed under condition that the output of every subnetwork of the SNN is a vector which is accessible. The main problem of the explanation is that the perturbation technique cannot be used directly for input instances because only their
Lev V. Utkin +2 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 +4 more
doaj +1 more source
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 +4 more
doaj +1 more source