Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM

时间 2021-01-18

标签手势识别三维卷积繁體版

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前言因为最近再看C3D+LSTM手势识别方面的文章，故记录一下，一方面来加深理解记忆，另一方面以备后面回顾复习团队介绍作者来自西安电子科技大学软件学院 Motivation １：利用三维卷积网络学习较短的时空特征，然后利用卷积LSTM构建长时的时空特征。这个套路很熟悉，在上一篇笔记《Temporal Activity Detection in Untrimmed Videos with Re

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1. 文献总结《Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM》
2. 《Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM》译文
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6. 【OverFeat】《OverFeat：Integrated Recognition, Localization and Detection using Convolutional Networks》
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1. 文献总结《Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM》
2. 《Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM》译文
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

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