Mar 2, 2023 � In this work we present a detailed analysis of the effect of training computer vision models using different proportions of synthetic data along with real (�...
Mar 2, 2023 � This synthetic data can be used to alleviate some of the challenges faced by deep learning models. In this work we present a detailed analysis�...
This synthetic data can be used to alleviate some of the challenges faced by deep learning models. In this work we present a detailed analysis of the effect of�...
This study uses a deep learning method with several architectures such as CNN, Bidirectional LSTM, and ResNet, combined with pre-trained word embedding.
Generative Adversarial Networks (GANs) are used to create synthetic data for training computer vision models, which can help improve their accuracy and�...
We present two key risks of using synthetic data in model development. First, we detail the high risk of false confidence when using synthetic data.
Nov 20, 2023 � This study gives a complete assessment of the literature on deepfake detection strategies using DL-based algorithms.
Jun 5, 2024 � We present two key risks of using synthetic data in model development. First, we detail the high risk of false confidence when using synthetic data.
In this paper, we conduct a comprehensive review of deepfakes creation and detection technologies using deep learning approaches.
Oct 20, 2023 � Including synthetic data to the training reduced lower limb error on average by 65.1% and 70.1% for the countermovement jump and squat movements�...
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