Results 1 to 10 of about 6,351 (159)

Survey on Self-Supervised Learning: Auxiliary Pretext Tasks and Contrastive Learning Methods in Imaging

Entropy, 2022
Although deep learning algorithms have achieved significant progress in a variety of domains, they require costly annotations on huge datasets. Self-supervised learning (SSL) using unlabeled data has emerged as an alternative, as it eliminates manual ...
Saleh Albelwi
exaly   +3 more sources

Racially Motivated Spying Pretext

Columbia Journal of Race and Law, 2021
This Comment critiques the Federal Bureau of Investigation’s (FBI) surveillance policies against Black activism following changes in the FBI’s threat terminology from “Black Identity Extremism” (BIE) in 2017 to “Racially Motivated Violent Extremism ...
Vinay Patel
doaj   +2 more sources

Improving Coronary Artery Disease Diagnosis in Cardiac MRI with Self-Supervised Learning [PDF]

Diagnostics
The Background/Objectives: The excessive dependence on data annotation, the lack of labeled data, and the substantial expense of data annotation, especially in healthcare, have constrained the efficacy of conventional supervised learning methodologies ...
Usman Khalid, Mehmet Kaya, Reda Alhajj
doaj   +2 more sources

Self-Supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning

IEEE Access, 2023
Traditional self-supervised learning requires convolutional neural networks (CNNs) using external pretext tasks (i.e., image- or video-based tasks) to encode high-level semantic visual representations.
Tianshu Xie, Haigang Gong, Ming Liu
exaly   +3 more sources

Interpreting pretext tasks for active learning: a reinforcement learning approach [PDF]

Scientific Reports
As the amount of labeled data increases, the performance of deep neural networks tends to improve. However, annotating a large volume of data can be expensive. Active learning addresses this challenge by selectively annotating unlabeled data.
Dongjoo Kim, Minsik Lee
doaj   +2 more sources

Noise-induced modality-specific pretext learning for pediatric chest X-ray image classification

Frontiers in Artificial Intelligence
IntroductionDeep learning (DL) has significantly advanced medical image classification. However, it often relies on transfer learning (TL) from models pretrained on large, generic non-medical image datasets like ImageNet.
Sivaramakrishnan Rajaraman, Sameer K Antani   +1 more
exaly   +3 more sources

A comparative study on women's dress motifs of Minab city and Kalpurgan pottery of Balochistan based on pre-textuality approach [PDF]

زن در فرهنگ و هنر, 2023
A comparative analysis of Women’s Clothing designs in Minab and kalpouregan pottery in Baluchestan based on intertextual approachAbstractThe political and geographical proximity of Sistan and Baluchestan and Hormozgan provinces is effective in creating ...
motahareh zakeri, maryam mohammadi, nafiseh esnaashari   +2 more
doaj   +1 more source

THE BIBLICAL CONTEXT OF SELF-REJECTION MOTIF IN THE PLOT OF IVAN TURGENEV’S “A STRANGE STORY” [PDF]

Проблемы исторической поэтики, 2016
The article studies the functional role of  biblical reminiscence in  Ivan S.  Turgenev’s short novel  “A Strange Story”  (1870). A  pretextual function of  the Bible and interpretations of  certain biblical theses, sayings and maxims are revealed ...
Vyacheslav M. Golovko
doaj   +1 more source

Galicia as an Intertext: the Concept of the Frontier in the Novel “The End of Days” by Jenny Erpenbeck

Журнал Фронтирных Исследований, 2021
The article analyses the model of the cultural space underlying the image of Galicia in the novel The End of Days by Jenny Erpenbeck. The research is focused on the intertextual elements used to create this image, their functions and the range of their ...
Ievgeniia V. Voloshchuk
doaj   +1 more source

Intertextual References to the Story of A. K. Doyle “A Study in Scarlet” in Modern Literature (N. Gaiman “A Study in Emerald” and Ya. Wagner “A Study in Purple”)

Научный диалог, 2020
The intertextual layers of the stories by N. Gaiman “A Study in Emerald” and Ya. Wagner “A Study in Purple” are examined in this article. It is shown in the article that the intertextual fields of modern texts are allusions, reminiscences, metatextuality,
Yu. A. Gimranova, E. S. Sedova
doaj   +1 more source