Estimating Distribution Costs with the <scp>E</scp>aton–<scp>K</scp>ortum Model

Yang, Xianguang

doi:10.1111/rode.12160

Cited by 3 publications

(2 citation statements)

References 30 publications

(44 reference statements)

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“…Traditional image forgery detection methods. Many researchers [5,20,38,23] have investigated various digital forensics algorithms to detect forged images. One way to detect forged images is to analyze them in the frequency domain.…”

Section: Related Workmentioning

confidence: 99%

FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network

Jeon

Bang

Woo

2020

Preprint

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Creating fake images and videos such as "Deepfake" has become much easier these days due to the advancement in Generative Adversarial Networks (GANs). Moreover, recent research such as the few-shot learning can create highly realistic personalized fake images with only a few images. Therefore, the threat of Deepfake to be used for a variety of malicious intents such as propagating fake images and videos becomes prevalent. And detecting these machine-generated fake images has been quite challenging than ever. In this work, we propose a light-weight robust fine-tuning neural network-based classifier architecture called Fake Detection Fine-tuning Network (FDFtNet), which is capable of detecting many of the new fake face image generation models, and can be easily combined with existing image classification networks and finetuned on a few datasets. In contrast to many existing methods, our approach aims to reuse popular pre-trained models with only a few images for fine-tuning to effectively detect fake images. The core of our approach is to introduce an image-based self-attention module called Fine-Tune Transformer that uses only the attention module and the down-sampling layer. This module is added to the pre-trained model and fine-tuned on a few data to search for new sets of feature space to detect fake images. We experiment with our FDFtNet on the GANsbased dataset (Progressive Growing GAN) and Deepfake-based dataset (Deepfake and Face2Face) with a small input image resolution of 64×64 that complicates detection. Our FDFtNet achieves an overall accuracy of 90.29% in detecting fake images generated from the GANs-based dataset, outperforming the state-of-the-art.

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Section: Related Workmentioning

confidence: 99%

FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network

Jeon

Bang

Woo

2020

Preprint

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“…Por exemplo, Alvarez e Lucas Júnior (2007) investigaram, por meio do modelo de Eaton e Kortum, os determinantes da distribuição dos volumes do comércio (tais como tamanho, tarifas e distância) para mais de 60 economias e obtiveram resul-tados consistentes com a literatura gravitacional. Yang (2015) estimou o custo de comércio para 60 países em desenvolvimento utilizando o modelo de Eaton e Kortum, concluindo que os países em desenvolvimento estão sujeitos à distribuição de custos muito maiores e que as reduções nos custos podem resultar em grandes ganhos de comércio e de bem-estar social.…”

Section: Introductionunclassified

Estimação Do Comércio Internacional Brasileiro Em Clusters

Catéia

Oliveira

Barbosa

2021

RAE

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O objetivo deste estudo é investigar empiricamente o comércio internacionaldo Brasil com seus parceiros comerciais estimado por meio dos estimadores de máximaverossimilhança (MV), Poisson pseudo-maximum likelihood (PPML) e o sistema GMMem um modelo de comércio com bens contínuos. Analisa-se o desempenho das exportações brasileiras para os quatro clusters intercontinentais: o comércio Brasil-Mercosul,Brasil-Brics, Brasil-Zona do Euro e Brasil-Estados Unidos. Os estimadores MV e PPMLreportam estimativas significativas e consistentes com a literatura gravitacional de queas rendas e populações dos países elevam o comércio, enquanto o custo de transportemais alto tende a inibir os fluxos comerciais. A volatilidade cambial não se mostra umimpeditivo ao comércio, ao menos no modelo estático. A fronteira não tem um importante papel na determinação do padrão do comércio entre o Brasil e seus parceirosregionais, sugerindo que os clusters intercontinentais podem ser fundamentais para osfluxos de exportações brasileiras, fato confirmado pelos resultados reportados pelo estimador do sistema GMM.

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