【論文筆記】Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
1. 論文題目 《Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks》 中文：通過輔助任務上自訓練的半監督人羣計數 2. 作者以及研究單位 作者分別來自四川大學、阿德萊德大學、伍倫貢大學和大連理工大學。 3. 摘要 一兩句話概述全文。 本文從特徵學習的角度處理人羣計數的半監督，只利用未標註數據訓練一個通用的特徵提取
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相關文章
- 1. 【論文筆記】Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
- 2. [論文筆記 CVPR2020]Attention Scaling for Crowd Counting
- 3. 論文筆記——Body Structure Aware Deep Crowd Counting
- 4. 論文解讀《Crowd Counting via Multi-layer Regression》ACM-MM2019
- 5. 《Crowd Counting via Adversarial Cross-Scale Consistency Pursuit》解讀
- 6. 【論文筆記】Learning from Synthetic Data for Crowd Counting in the Wild
- 7. 《LOCALITY-CONSTRAINED SPATIAL TRANSFORMER NETWORKFOR VIDEO CROWD COUNTING》論文筆記
- 8. 論文理解《Body Structure Aware Deep Crowd Counting》
- 9. 論文筆記：Switching Convolutional Neural Network for Crowd Counting
- 10. Scale-Aware Attention Network for Crowd Counting 論文筆記