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作者,你好,非常感谢你的工作;通过阅读论文,了解到你在测试时候使用的这个Defacto 数据集是由MS-COCO数据集中随机选择了6000张未接触过的图像,并将其与Defacto的6000张图像合并,创建Defacto-12k数据集(因为Defacto数据集中没有真实图像作为负例),请问可以直接提供该数据集吗?谢谢
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诚然不建议后续文章使用这个数据集比较,因为它的gap与CASIAv2实在太大,大多数篡改都是非常微小的object。
客观来说各个论文中report的0.1左右的F1,只要全预测为白色,也能达到这样的结果,这样的指标实在不具备参考意义,所以真的不建议后续文章使用该数据集,加上IMD-2020可能是个better choice。
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作者,你好,非常感谢你的工作;通过阅读论文,了解到你在测试时候使用的这个Defacto 数据集是由MS-COCO数据集中随机选择了6000张未接触过的图像,并将其与Defacto的6000张图像合并,创建Defacto-12k数据集(因为Defacto数据集中没有真实图像作为负例),请问可以直接提供该数据集吗?谢谢
The text was updated successfully, but these errors were encountered: