Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM
前言 因爲最近再看C3D+LSTM手勢識別方面的文章，故記錄一下，一方面來加深理解記憶，另一方面以備後面回顧複習 團隊介紹 作者來自西安電子科技大學軟件學院 Motivation １：利用三維卷積網絡學習較短的時空特徵，然後利用卷積LSTM構建長時的時空特徵。這個套路很熟悉，在上一篇筆記《Temporal Activity Detection in Untrimmed Videos with Re
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相關文章
- 1. 文獻總結《Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM》
- 2. 《Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM》譯文
- 3. Large-scale Multimodal Gesture Segmentation and Recognition based on Convolutional Neural Networks
- 4. Emotion Recognition Using Graph Convolutional Networks
- 5. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
- 6. 【OverFeat】《OverFeat：Integrated Recognition, Localization and Detection using Convolutional Networks》
- 7. Gesture-Recognition
- 8. Long-term Recurrent Convolutional Networks for Visual Recognition and Description
- 9. MiCT: Mixed 3D/2D convolutional tube for human action recognition
- 10. Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks