Towards a Diffraction-based Sensing Approach on Human Activity Recognition論文閱讀筆記
Towards a Diffraction-based Sensing Approach on Human Activity Recognition FUSANG ZHANG, Peking University; Institute of Software, Chinese Academy of Sciences, China KAI NIU, Peking University, China
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相關文章
- 1. 論文筆記：Deep Convolutional Neural Network On Multichannel Time Series For Human Activity Recognition
- 2. 論文閱讀：Action recognition for human-marionette interaction.
- 3. SRN: Towards Accurate Scene Text Recognition with Semantic Reasoning Networks ---論文閱讀筆記
- 4. 論文閱讀：NetworkTrimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
- 5. 《3D Convolutional Neural Networks for Human Action Recognition》論文閱讀筆記
- 6. 閱讀筆記：Understanding and Modeling of WiFi Signal Based Human Activity Recognition
- 7. Center Loss: A Discriminative Feature Learning Approach for Deep Face Recognition（論文閱讀筆記）
- 8. 論文閱讀筆記（三十九）：3D Convolutional Neural Networks for Human Action Recognition
- 9. FarSense——2019UbiCom論文閱讀筆記
- 10. 【論文閱讀筆記】Fast Human PoseEstimation