A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916847923757056 |
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| author | Sueyoshi, Homare Nishikawa, Kiyoshi Kiya, Hitoshi |
| author_facet | Sueyoshi, Homare Nishikawa, Kiyoshi Kiya, Hitoshi |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2507_12730 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique Sueyoshi, Homare Nishikawa, Kiyoshi Kiya, Hitoshi Computer Vision and Pattern Recognition Cryptography and Security 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. |
| title | A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique |
| topic | Computer Vision and Pattern Recognition Cryptography and Security |
| url | https://arxiv.org/abs/2507.12730 |