This paper presents the benchmarking and improve-ment of the ResNet image forgery model using three different datasets (CASIA, Columbia, and LSBU).
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Abstract—This paper presents the benchmarking and improve- ment of the ResNet image forgery model using three different datasets (CASIA, Columbia, and LSBU) ...
We verified the effectiveness of FIF on three image classification benchmark datasets, namely Tiny ImageNet, CIFAR-100 and ImageNet. Our experimental results ...
On the benchmarking of ResNet forgery image model using different datasets ; Xu Y., Du B., Zhang L. · Q1. IEEE Transactions on Neural Networks and Learning ...
On the benchmarking of ResNet forgery image model using different datasets. F Hossain, T Dagiuklas. 2022 Human-Centered Cognitive Systems (HCCS), 1-7, 2022. 1 ...
This is a dataset regarding the creation of forgery images. The dataset consists of 1000 original and 3000 forgery images generated from the original images.
This paper introduces GenImage, a dataset specifically designed for detecting fake images generated by generative models.
The project employs two models: InceptionV3 and ResNet50. Below is a comparison of their accuracy on the test set.
This article presents a framework improving robustness for image forgery detection. The most important step of our framework is to take into account the image ...
Our model also outperforms baseline models on the rest of the datasets - Ca- sia and Nist. Moreover, it is worth pointing out that CFL-. Net achieves these ...