【行爲檢測】ICCV 2017：Temporal Action Detection with Structured Segment Networks
Action detection 看的第一篇，只看懂了大概思路，具體細節很多不理解，代碼暫時沒看懂，後面瞭解多了再返回來看吧。 代碼：https://github.com/yjxiong/action-detection 首先用Temporal Actionness Grouping(TAG)這個方法得到候選片段，之後利用時間金字塔得到片段級別特徵，經過兩個分類器聯合判斷，得到片段類別和開始結束的
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相關文章
- 1. SSN：Temporal Action Detection with Structured Segment Networks
- 2. Temporal-Action-Detection-with-Structured-Segment-Networks筆記
- 3. [行爲識別論文詳解]SSN(Temporal Action Detection with Structured Segment Networks)
- 4. 論文瀏覽(19) Temporal Action Detection with Structured Segment Networks
- 5. P-GCN：Graph Convolutional Networks for Temporal Action Localization 2019 ICCV
- 6. Temporal Segment Networks 核心
- 7. [行爲檢測] CDC-Convolutional-De-Convolutional Networks for Precise Temporal Action Localization
- 8. [行爲檢測] CDC-Convolutional-De-Convolutional Networks for Precise Temporal Action Location
- 9. 基於temporal segment networks的行爲識別
- 10. Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks