Deeply Learned Attributes for Crowded Scene Understanding（WWW dataset）
Deeply Learned Attributes for Crowded Scene Understanding 主要内容： 1. 自己创建数据集：Who do What at someWhere (WWW) 2. 用深度模型训练 动机：大多数的人群研究都是基于特定场景的，变化场景表现就没有那么好了 不同场景都有着相同的属性，但是这些属性没有明确的定义 创建数据集用于
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相关文章
- 1. 人群场景的属性--Deeply Learned Attributes for Crowded Scene Understandin
- 2. 【点云】SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
- 3. Unified Perceptual Parsing for Scene Understanding(UPerNet)
- 4. 人群行为分类数据库--Novel Dataset for Fine-grained Abnormal Behavior Understanding in Crowd
- 5. Re-ID阅读笔记(一)：《Deeply-Learned Part-Aligned Representations for Person Re-Identification》
- 6. ReID论文笔记1-Deeply-Learned Part-Aligned Representations for Person Re-Identification
- 7. Deeply-Learned Part-Aligned Representations for Person Re-Identification 论文笔记
- 8. 论文笔记：Deeply-Learned Part-Aligned Representations for Person Re-Identification
- 9. Deeply-Learned Spatial Alignment for Person Re-Identification 论文阅读记录
- 10. 【论文阅读】Deeply Learned Compositional Models for Human Pose Estimation 【ECCV2018】