论文解读《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. 问题：as congestion degree varies, people’s appearances may seem different. 随着拥堵程度的不同，人们的外表
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相关文章
- 1. 《Crowd Counting via Adversarial Cross-Scale Consistency Pursuit》解读
- 2. 论文理解《Body Structure Aware Deep Crowd Counting》
- 3. 【论文笔记】Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
- 4. 【论文笔记】Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
- 5. 论文解读《Density-Aware Multi-Task Learning for Crowd Counting》IEEE Transactions on MultiMedia2020
- 6. 论文解读《Almost Unsupervised Learning for Dense Crowd Counting》AAAI2019
- 7. 论文解读《CrowdNet: A Deep Convolutional Network for Dense Crowd Counting》ACMM-MM2016
- 8. Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning
- 9. 论文Depth Information Guided Crowd Counting for Complex Crowd Scenes
- 10. [论文笔记 CVPR2020]Attention Scaling for Crowd Counting