标题： 一种使用领域自适应技术的隐私保护语义分割方法 显示英文标题

标题： A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique

摘要： 我们提出了一种隐私保护的语义分割方法，用于对用于模型训练的图像以及测试图像应用感知加密。 该方法还能提供与没有任何加密的模型几乎相同的准确性。 上述性能是通过在视觉变压器（ViT）的嵌入结构上使用领域自适应技术实现的。 在使用一种称为语义分割变压器的强大多任务语义分割模型时，实验确认了所提出方法在语义分割准确性方面的有效性。 显示英文摘要

摘要： We propose a privacy-preserving semantic-segmentation method for applying perceptual encryption to images used for model training in addition to test images. This method also provides almost the same accuracy as models without any encryption. The above performance is achieved using a domain-adaptation technique on the embedding structure of the Vision Transformer (ViT). The effectiveness of the proposed method was experimentally confirmed in terms of the accuracy of semantic segmentation when using a powerful semantic-segmentation model with ViT called Segmentation Transformer.