
本文首次提出了deepfake网络结构溯源任务;我们的经验性实验证明了结构指纹的存在性,且其具有全局一致的性质;基于经验性实验,我们提出了结构溯源网络DNA-Det,其采用图像处理分类的预训练任务和Patch对比学习学习结构指纹;我们收集了包括各种跨域测试设置的结构溯源数据集和包括3种分辨率、10个结构的59个GAN模型数据集,实验表明DNA-Det在跨随机种子、跨损失函数、跨微调和跨数据集的测试中明显优于现有方法。
2022-07-25 19:23:00 【智源社区】

本文首次提出了deepfake网络结构溯源任务;我们的经验性实验证明了结构指纹的存在性,且其具有全局一致的性质;基于经验性实验,我们提出了结构溯源网络DNA-Det,其采用图像处理分类的预训练任务和Patch对比学习学习结构指纹;我们收集了包括各种跨域测试设置的结构溯源数据集和包括3种分辨率、10个结构的59个GAN模型数据集,实验表明DNA-Det在跨随机种子、跨损失函数、跨微调和跨数据集的测试中明显优于现有方法。

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