【论文笔记】Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
1. 论文题目 《Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks》 中文：通过辅助任务上自训练的半监督人群计数 2. 作者以及研究单位 作者分别来自四川大学、阿德莱德大学、伍伦贡大学和大连理工大学。 3. 摘要 一两句话概述全文。 本文从特征学习的角度处理人群计数的半监督，只利用未标注数据训练一个通用的特征提取
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相关文章
- 1. 【论文笔记】Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
- 2. [论文笔记 CVPR2020]Attention Scaling for Crowd Counting
- 3. 论文笔记——Body Structure Aware Deep Crowd Counting
- 4. 论文解读《Crowd Counting via Multi-layer Regression》ACM-MM2019
- 5. 《Crowd Counting via Adversarial Cross-Scale Consistency Pursuit》解读
- 6. 【论文笔记】Learning from Synthetic Data for Crowd Counting in the Wild
- 7. 《LOCALITY-CONSTRAINED SPATIAL TRANSFORMER NETWORKFOR VIDEO CROWD COUNTING》论文笔记
- 8. 论文理解《Body Structure Aware Deep Crowd Counting》
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- 10. Scale-Aware Attention Network for Crowd Counting 论文笔记