A Novel Approach of Dynamic Vision Reconstruction from fMRI Profiles Using Siamese Conditional Generative Adversarial Network
نویسندگان
چکیده
HIGHLIGHTS We combined Siamese Neural Network with CGAN to create a SCGAN framework. Visual perception reconstructed by Conditional Generative Adversarial (CGAN). Reducing image loss, the linear version learns be expecting latent area out of Blood Oxygen Level Dependent. Reconstruction on video fMRI dataset was objectively identifiable.
منابع مشابه
Image De-raining Using a Conditional Generative Adversarial Network
Severe weather conditions such as rain and snow adversely affect the visual quality of images captured under such conditions thus rendering them useless for further usage and sharing. In addition, such degraded images drastically affect performance of vision systems. Hence, it is important to solve the problem of single image de-raining/de-snowing. However, this is a difficult problem to solve ...
متن کاملConditional Generative Adversarial Nets
Generative Adversarial Nets [8] were recently introduced as a novel way to train generative models. In this work we introduce the conditional version of generative adversarial nets, which can be constructed by simply feeding the data, y, we wish to condition on to both the generator and discriminator. We show that this model can generate MNIST digits conditioned on class labels. We also illustr...
متن کاملnetwork of phonological rules in lori dialect of andimeshk: a study within the framework of post-generative approach.
پژوهش حاضر ارائه ی توصیفی است از نظام آوایی گویش لری شهر اندیمشک، واقع در شمال غربی استان خوزستان. چهارچوب نظری این پژوهش، انگاره ی پسازایشی جزءمستقل می باشد. این پایان نامه شامل موارد زیر است: -توصیف آواهای این گویش به صورت آواشناسی سنتی و در قالب مختصه های زایشی ممیز، همراه با آوانوشته ی تفصیلی؛ -توصیف نظام آوایی گویش لری و قواعد واجی آن در چهارچوب انگاره ی پسازایشی جزءمستقل و معرفی برهم کن...
Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks
A conditional Generative Adversarial Network allows for generating samples conditioned on certain external information. Being able to recover latent and conditional vectors from a conditional GAN can be potentially valuable in various applications, ranging from image manipulation for entertaining purposes to diagnosis of the neural networks for security purposes. In this work, we show that it i...
متن کاملContext-conditional Generative Adversarial Networks
We introduce a simple semi-supervised learning approach for images based on in-painting using an adversarial loss. Images with random patches removed are presented to a generator whose task is to fill in the hole, based on the surrounding pixels. The in-painted images are then presented to a discriminator network that judges if they are real (unaltered training images) or not. This task acts as...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Brazilian Archives of Biology and Technology
سال: 2023
ISSN: ['1678-4324', '1516-8913']
DOI: https://doi.org/10.1590/1678-4324-2023220330