論文理解《Body Structure Aware Deep Crowd Counting》
論文《Body Structure Aware Deep Crowd Counting》 IEEE TRANSACTIONS ON IMAGE PROCESSING 創新點：從語義場景分析作爲出發點，進行人羣計數；包含三個關鍵因素：行人，頭部和他們地上下文結構（context structure）；行人的語義結構可以提供更豐富的信息用於行人識別； 解決問題：現存的方法，大多是直接模擬行人的整個身體
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相關文章
- 1. 論文筆記——Body Structure Aware Deep Crowd Counting
- 2. 論文解讀《Density-Aware Multi-Task Learning for Crowd Counting》IEEE Transactions on MultiMedia2020
- 3. Scale-Aware Attention Network for Crowd Counting 論文筆記
- 4. 論文解讀《CrowdNet: A Deep Convolutional Network for Dense Crowd Counting》ACMM-MM2016
- 5. 論文解讀Ultra Fast Structure-aware Deep Lane Detection
- 6. 論文理解《Dense crowd counting from still images with convolutional neural networks》
- 7. 論文理解Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
- 8. 論文《ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detecti》
- 9. 論文理解《Class-Agnostic Counting》
- 10. 論文Depth Information Guided Crowd Counting for Complex Crowd Scenes