BSD100-4x_upscaling
收藏魔搭社区2025-12-04 更新2024-08-31 收录
下载链接:
https://modelscope.cn/datasets/OmniData/BSD100-4x_upscaling
下载链接
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资源简介:
displayName: BSD100 - 4x upscaling
labelTypes:
- SemanticMask
license: []
mediaTypes:
- Image
paperUrl: https://arxiv.org/pdf/1612.07919.pdf
publishDate: "2020"
publishUrl: https://deepai.org/dataset/bsd100-4x-upscaling
publisher: []
tags:
- Comic Face
- Human Face
- Huamn
- Pet
taskTypes:
- Super-Resolution
---
# 数据集介绍
## 简介
该数据集建议使用深度拉普拉斯金字塔超分辨率网络对图像进行快速准确的超分辨率转换。使用多个金字塔级别,网络逐步重建高分辨率图像的子带残差。
## 引文
```
@InProceedings{MartinFTM01,
author = {D. Martin and C. Fowlkes and D. Tal and J. Malik},
title = {A Database of Human Segmented Natural Images and its
Application to Evaluating Segmentation Algorithms and
Measuring Ecological Statistics},
booktitle = {Proc. 8th Int'l Conf. Computer Vision},
year = {2001},
month = {July},
volume = {2},
pages = {416--423}
}
```
## Download dataset
:modelscope-code[]{type="git"}
displayName: BSD100 - 4倍超分辨率
labelTypes:
- 语义掩码(SemanticMask)
license: []
mediaTypes:
- 图像(Image)
paperUrl: https://arxiv.org/pdf/1612.07919.pdf
publishDate: "2020"
publishUrl: https://deepai.org/dataset/bsd100-4x-upscaling
publisher: []
tags:
- 漫画人脸(Comic Face)
- 人脸(Human Face)
- 人类
- 宠物
taskTypes:
- 超分辨率(Super-Resolution)
---
# 数据集介绍
## 简介
本数据集推荐采用深度拉普拉斯金字塔超分辨率网络,实现图像的快速高精度超分辨率转换。该网络借助多级金字塔结构,逐步重构高分辨率图像的子带残差。
## 引文
@InProceedings{MartinFTM01,
author = {D. Martin and C. Fowlkes and D. Tal and J. Malik},
title = {人类分割自然图像数据库及其在分割算法评估与生态统计测量中的应用},
booktitle = {第8届国际计算机视觉会议论文集},
year = {2001},
month = {7月},
volume = {2},
pages = {416--423}
}
## 数据集下载
:modelscope-code[]{type="git"}
提供机构:
maas
创建时间:
2024-07-05



