閱讀筆記 CR-Net: A Deep Classification-Regression Network for Multimodal Apparent Personality Analysis
CR-Net: A Deep Classification-Regression Network for Multimodal Apparent Personality Analysis 模型結構 模型包括數據處理， 特徵提取， 預測迴歸三個部分， 下面分別介紹 數據預處理 visual 每個視頻取樣32幀， 而且每一幀又分爲**背景和臉部 **圖片 ，以往的工作專注於面部特徵， 但是作者認爲其背
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相關文章
- 1. 【閱讀筆記】《ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation》
- 2. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression 閱讀筆記
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- 7. Deep Residual Learning for Image Recognition閱讀筆記
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- 9. Spiking Deep Residual Network閱讀筆記
- 10. 風格遷移學習筆記(1):Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast