論文解讀《Crowd Counting via Multi-layer Regression》ACM-MM2019
Crowd Counting via Multi-layer Regression Xin Tan, Chun Tao, Tongwei Ren, Jinhui Tang, and Gangshan Wu 摘要： 1. 問題：as congestion degree varies, people’s appearances may seem different. 隨着擁堵程度的不同，人們的外表
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相關文章
- 1. 《Crowd Counting via Adversarial Cross-Scale Consistency Pursuit》解讀
- 2. 論文理解《Body Structure Aware Deep Crowd Counting》
- 3. 【論文筆記】Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
- 4. 【論文筆記】Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
- 5. 論文解讀《Density-Aware Multi-Task Learning for Crowd Counting》IEEE Transactions on MultiMedia2020
- 6. 論文解讀《Almost Unsupervised Learning for Dense Crowd Counting》AAAI2019
- 7. 論文解讀《CrowdNet: A Deep Convolutional Network for Dense Crowd Counting》ACMM-MM2016
- 8. Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning
- 9. 論文Depth Information Guided Crowd Counting for Complex Crowd Scenes
- 10. [論文筆記 CVPR2020]Attention Scaling for Crowd Counting