The partnership of citizen science and machine learning: benefits, risks, and future challenges for engagement, data collection, and data quality
Advances in artificial intelligence (AI) and the extension of citizen science to various
scientific areas, as well as the generation of big citizen science data, are resulting in AI and …
scientific areas, as well as the generation of big citizen science data, are resulting in AI and …
An upgraded siamese neural network for motion tracking in ultrasound image sequences
Deep learning is heavily being borrowed to solve problems in medical imaging applications,
and Siamese neural networks are the front runners of motion tracking. In this article, we …
and Siamese neural networks are the front runners of motion tracking. In this article, we …
Similarity function for one-shot learning to enhance the flexibility of myoelectric interfaces
This study aims to develop a flexible myoelectric pattern recognition (MPR) method based
on one-shot learning, which enables convenient switching across different usage scenarios …
on one-shot learning, which enables convenient switching across different usage scenarios …
Face recognition and tracking for security surveillance
SP Nair, K Abhinav Reddy, PK Alluri… - Journal of Intelligent & …, 2021 - content.iospress.com
Abstract According to the National Crime Records Bureau, 63,407 children have gone
missing in the year 2016, which makes almost 174 children go missing in India every day …
missing in the year 2016, which makes almost 174 children go missing in India every day …
Whispernet: Deep siamese network for emotion and speech tempo invariant visual-only lip-based biometric
In the recent decade, the field of biometrics was revolutionized thanks to the rise of deep
learning. Many improvements were done on old biometric methods which reduced the …
learning. Many improvements were done on old biometric methods which reduced the …
Optimising face recognition system using contrastive learning and contrastive loss
AJ Kumar, A Manvitha, B Poojitha… - 2023 7th …, 2023 - ieeexplore.ieee.org
The current issue with facial recognition systems is that they can be influenced by poor
illumination or inadequate image quality. Because camera angles are obstructed, the data …
illumination or inadequate image quality. Because camera angles are obstructed, the data …
Leveraging a Two-Level Attention Mechanism for Deep Face Recognition with Siamese One-Shot Learning
AM Albayati, W Chtourou, F Zarai - Journal of Robotics and …, 2024 - journal.umy.ac.id
Discriminative feature embedding is used for largescale facial recognition. Many image-
based facial recognition networks use CNNs like ResNets and VGG-nets. Humans prioritise …
based facial recognition networks use CNNs like ResNets and VGG-nets. Humans prioritise …
Crypt-OR: A privacy-preserving distributed cloud computing framework for object-removal in the encrypted images
Image inpainting is a technique to modify an image by removing/fill-up the undesired region
(s) in a visually plausible manner. With the advancement of cloud applications, the cloud …
(s) in a visually plausible manner. With the advancement of cloud applications, the cloud …
One-shot learning for facial sketch recognition using the siamese convolutional neural network
NIA Sabri, S Setumin - 2021 IEEE 11th IEEE Symposium on …, 2021 - ieeexplore.ieee.org
Deep Convolutional Neural Networks have been widely used in computer vision tasks like
classifying an image and detecting an object within an image. To archive the state-of-the-art …
classifying an image and detecting an object within an image. To archive the state-of-the-art …
Multi-attributed Face Synthesis for One-Shot Deep Face Recognition
Nothing is more unique and crucial to an individual's identity than their face. With the rapid
improvement in computational power and memory space and recent specializations in deep …
improvement in computational power and memory space and recent specializations in deep …