Deeply Learned Attributes for Crowded Scene Understanding（WWW dataset）
Deeply Learned Attributes for Crowded Scene Understanding 主要內容： 1. 自己創建數據集：Who do What at someWhere (WWW) 2. 用深度模型訓練 動機：大多數的人羣研究都是基於特定場景的，變化場景表現就沒有那麼好了 不同場景都有着相同的屬性，但是這些屬性沒有明確的定義 創建數據集用於
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相關文章
- 1. 人羣場景的屬性--Deeply Learned Attributes for Crowded Scene Understandin
- 2. 【點雲】SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
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- 4. 人羣行爲分類數據庫--Novel Dataset for Fine-grained Abnormal Behavior Understanding in Crowd
- 5. Re-ID閱讀筆記(一)：《Deeply-Learned Part-Aligned Representations for Person Re-Identification》
- 6. ReID論文筆記1-Deeply-Learned Part-Aligned Representations for Person Re-Identification
- 7. Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
- 8. 論文筆記：Deeply-Learned Part-Aligned Representations for Person Re-Identification
- 9. Deeply-Learned Spatial Alignment for Person Re-Identification 論文閱讀記錄
- 10. 【論文閱讀】Deeply Learned Compositional Models for Human Pose Estimation 【ECCV2018】