3DCNN參數解析：2013-PAMI-3DCNN for Human Action Recognition
3DCNN參數解析：2013-PAMI-3DCNN for Human Action Recognition 參數分析 Input：7 @ 60 × \times × 40， 7幀，圖片大小60 × \times × 40 hardwired： H1 產生5通道信息，分別是gray, gradient-x, gradient-y, optflow-x, optflow-y。前三個對於每一張圖片都計
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相關文章
- 1. 3DCNN:3D Convolutional Neural Networks for Human Action Recognition
- 2. 譯：3D Convolutional Neural Networks for Human Action Recognition
- 3. 【論文學習】3D Convolutional Neural Networks for Human Action Recognition
- 4. 3D Convolutional Neural Networks for Human Action Recognition
- 5. MiCT: Mixed 3D/2D convolutional tube for human action recognition
- 6. Self-Attention Network for Skeleton-based Human Action Recognition
- 7. 論文閱讀：Action recognition for human-marionette interaction.
- 8. 論文：3D Convolutional Neural Networks for Human Action Recognition
- 9. 《3D Convolutional Neural Networks for Human Action Recognition》論文閱讀筆記
- 10. Action Snippets: How many frames does human action recognition require?