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| | | "https://doi.org/10.48550/arXiv.2007.05441", |
| | | "https://doi.org/10.48550/arXiv.1907.11357", |
| | | "https://doi.org/10.1109/TITS.2019.2922252", |
| | | "https://doi.org/10.48550/arXiv.2402.02430", |
| | | "https://doi.org/10.48550/arXiv.1909.00179", |
| | | "https://doi.org/10.48550/arXiv.1811.08201", |
| | | "https://doi.org/10.48550/arXiv.2006.02706", |
| | | "https://doi.org/10.48550/arXiv.2103.12212", |
| | | "https://doi.org/10.48550/arXiv.2002.07317", |
| | | "https://doi.org/10.48550/arXiv.1807.06132" |
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| "doi": "10.57702/t0wqghr8", | | "doi": "10.57702/t0wqghr8", |
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| "name": "camvid", | | "name": "camvid", |
n | "notes": "The Camvid dataset is a benchmark for semantic | n | "notes": "The dataset used in the paper is a pre-trained ResNet-50 |
| segmentation.", | | classi\ufb01er, which is used for image synthesis, unpaired |
| | | image-to-image translation, and feature similarity estimation.", |
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t | "title": "Camvid", | t | "title": "CamVid", |
| "type": "dataset", | | "type": "dataset", |
| "version": "" | | "version": "" |
| } | | } |