کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6941459 1450111 2018 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Paired mini-batch training: A new deep network training for image forensics and steganalysis
ترجمه فارسی عنوان
آموزش مینی باری دوگانه: آموزش جدید شبکه عمیق برای عکاسی و استقامسی تصویر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Deep convolutional neural networks (convnets) have recently become popular in many research areas because convnets can extract features automatically and classify them with high accuracy. Researchers in the image forensics and steganalysis field have proposed methods using convnets to develop technologies that work in practical environments. However, they found that the convnets used for computer vision were not suitable for image forensics and steganalysis because these convnets tend to learn features that represent the contents of images rather than forensic or steganalysis features. To overcome this limitation, researchers have proposed various structures, but there are no studies that take into account other factors related to training neural networks for image forensics and steganalysis. In this paper, we clearly represent the training process for image forensics and steganalysis using a training equation and explain why training convnets with the standard mini-batch is inefficient for image forensics and steganalysis. We then propose a new mini-batch, called the paired mini-batch, which is better suited for image forensics and steganalysis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing: Image Communication - Volume 67, September 2018, Pages 132-139
نویسندگان
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