视觉方向数据集汇总(更新中)"/>
计算机视觉方向数据集汇总(更新中)
建筑物提取数据集
- Aerial Image Segmentation Dataset
.XH6HtygzbIU - INRIA aerial image dataset
/ - WHU Building Dataset
.html - Massachusetts Buildings Dataset
/
- 2020数字中国创新大赛—应用赛1:建筑智能普查
天池比赛已结束 - 亚马逊SpaceNet Buildings Dataset
- AIRS
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遥感影像数据集汇总
chip classification、Semantic Segmentation(buildings / roads)、Object Detection相关深度学习框架----rastervision
.13/quickstart.html
双目深度立体匹配数据集
-
KITTI
A. Geiger, P. Lenz, and R. Urtasun. Are we ready for autonomous driving? the kitti vision benchmark suite. In CVPR, 2012. 2, 4. / -
Flyingthings3D
.en.html
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立体匹配方向论文综述
无监督:
- Unsupervised Monocular Depth Estimation with Left-Right Consistency
- .01260 monodepthV2
- on cpu
- Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction .07309.pdf
- SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation .04026v1.pdf
- GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network .06782v1.pdf
- Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction caffe
- Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video =gitee_search
- Unsupervised Learning of Depth and Ego-Motion from Video .pdf
- Learning Stereo from Single Images GT
- Hierarchical Discrete Distribution Decomposition for Match Density Estimation GT
- 迁移学习
- HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
- MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching
半监督:
文档文种分类数据集(script identification)
- Chinese Ethnic Ancient Handwritten Books database, CEAHB2021-5
, Extraction code:CNAH. . 少数民族古籍ancient books 藏 纳西 傣 水 彝族
文档图像二值化数据集
- [DIBCO] /
- [Persian] .php/Persian_Heritage_Image_Binarization_Dataset_(PHIBD_2012)
[PLM] .php/download-123 - 德宏傣文古籍图像二值化数据集Tai Le historical document image binarization dataset, TLHDIBD2021.
提取码:TLDI - [S-MS]
- [LRDE-DBD] .0/
- [Label] .do
古籍相关任务:
.06777.pdf
.06786.pdf
.15093.pdf
.11838.pdf
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计算机视觉方向数据集汇总(更新中)
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