GAN Ensemble for Anomaly Detection [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence,
35(5), 4090-4097 (2021). Retrieved from
https://ojs.aaai.org/index.php/AAAI/article/view/16530, 2020 When formulated as an unsupervised learning problem, anomaly detection often requires a model to learn the distribution of normal data. Previous works apply Generative Adversarial Networks (GANs) to anomaly detection tasks and show good performances from these models.
arxiv
Next‐Generation Image Sensors Based on Low‐Dimensional Semiconductor Materials
Advanced Materials, EarlyView.Low‐dimensional semiconductor materials are promising candidates for photosensitive components in next‐generation image sensors. This review offers a thorough and timely examination of novel image sensors, covering their working principles, intriguing materials categorized into four main groups, and advanced imaging applications.
Yunxia Hu +3 more
wiley +1 more source
KG-GAN: Knowledge-Guided Generative Adversarial Networks [PDF]
arXiv, 2019 Can generative adversarial networks (GANs) generate roses of various colors given only roses of red petals as input? The answer is negative, since GANs' discriminator would reject all roses of unseen petal colors. In this study, we propose knowledge-guided GAN (KG-GAN) to fuse domain knowledge with the GAN framework.
arxiv
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs [PDF]
arXiv, 2020 Semi-supervised learning has been gaining attention as it allows for performing image analysis tasks such as classification with limited labeled data. Some popular algorithms using Generative Adversarial Networks (GANs) for semi-supervised classification share a single architecture for classification and discrimination.
arxiv
Dist-GAN: An Improved GAN Using Distance Constraints [PDF]
, 2018 Published as a conference paper at ECCV ...
Ngoc-Trung Tran +2 more
openaire +3 more sources
Comparative analysis of GAN-based fusion deep neural models for fake face detection
Mathematical Biosciences and EngineeringFake face identity is a serious, potentially fatal issue that affects every industry from the banking and finance industry to the military and mission-critical applications.
Musiri Kailasanathan Nallakaruppan +6 more
doaj +1 more source
The Philippine Islands and Their People. A record of personal observation and experience, with a short summary of the more important facts in the history of the Archipelago. By DEAN C. WORCESTER, Assistant Professor of Zoology, University of Michi gan. Pp. xix, 529. Price, $4.00. New York: The Macmillan Company, I898 [PDF]
, 1899 Emory R. Johnson
openalex +1 more source
Conditional GANs For Painting Generation [PDF]
arXiv, 2019 We examined the use of modern Generative Adversarial Nets to generate novel images of oil paintings using the Painter By Numbers dataset. We implemented Spectral Normalization GAN (SN-GAN) and Spectral Normalization GAN with Gradient Penalty, and compared their outputs to a Deep Convolutional GAN.
arxiv
Advanced Materials Interfaces, EarlyView.Multinary oxynitrides exhibit tunable structural and optoelectronic properties, though synthesis challenges have limited exploration. Using reactive sputter deposition, polycrystalline zirconium tantalum oxynitride films with varying cation ratios were synthesized, revealing a cubic bixbyite‐type structure, n‐type character, tunable bandgap and high ...
Laura I. Wagner +6 more
wiley +1 more source
Duschek: HÖHERE MATHEMATIK/Gans: VEKTORANALYSIS/Schwank: RANDWERTPROBLEME/Willers: METHODEN DER PRAKTISCHEN ANALYSIS/Peters: KREIS‐ UND EVOLVENTENFUNKTIONEN/Luckey: NOMOGRAPHIE [PDF]
, 1951 H. Görtier +2 more
openalex +1 more source