【论文笔记】Learning from Synthetic Data for Crowd Counting in the Wild
Backto Paper Notes Basic Intro Authors: Qi Wang(导师), Junyu Gao（主力）, Wei Lin, Yuan Yuan from 西北工业大学（西安） Key words: Crowd Counting Open source：https://gjy3035.github.io/GCC-CL/ Innovation 数据集：人群计数数据集标注困
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相关文章
- 1. 论文理解《Learning from Synthetic Data for Crowd Counting in the Wild》
- 2. 人群计数：SFCN--Learning from Synthetic Data for Crowd Counting in the Wild
- 3. [论文笔记 ECCV2020] Learning to Count in the Crowd from Limited Labeled Data
- 4. [论文笔记 CVPR2020]Attention Scaling for Crowd Counting
- 5. 论文理解Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
- 6. Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
- 7. Deep Learning 论文笔记 (3): Deep Learning Face Attributes in the Wild
- 8. 【论文笔记】Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
- 9. 论文解读《Almost Unsupervised Learning for Dense Crowd Counting》AAAI2019
- 10. 论文笔记：Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels