【論文筆記】Learning from Synthetic Data for Crowd Counting in the Wild
Backto Paper Notes Basic Intro Authors: Qi Wang(導師), Junyu Gao（主力）, Wei Lin, Yuan Yuan from 西北工業大學（西安） Key words: Crowd Counting Open source：https://gjy3035.github.io/GCC-CL/ Innovation 數據集：人羣計數數據集標註困
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相關文章
- 1. 論文理解《Learning from Synthetic Data for Crowd Counting in the Wild》
- 2. 人羣計數：SFCN--Learning from Synthetic Data for Crowd Counting in the Wild
- 3. [論文筆記 ECCV2020] Learning to Count in the Crowd from Limited Labeled Data
- 4. [論文筆記 CVPR2020]Attention Scaling for Crowd Counting
- 5. 論文理解Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
- 6. Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
- 7. Deep Learning 論文筆記 (3): Deep Learning Face Attributes in the Wild
- 8. 【論文筆記】Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
- 9. 論文解讀《Almost Unsupervised Learning for Dense Crowd Counting》AAAI2019
- 10. 論文筆記：Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels