Beyond Short Snippets: Deep Networks for Video Classification簡介
Beyond Short Snippets: Deep Networks for Video Classification Abstract 使用在imageNet上預訓練過的CNN（AlexNet或者GoogleLeNet）提取幀級特徵，再將幀級特徵和提取到的光流特徵輸入到池化框架或者LSTM進行訓練，得到分類結果。 Introduction 1.提出採用CNN來得到視頻級的全局描述，並且證明增大
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- 1. [翻譯]Beyond Short Snippets: Deep Networks for Video Classification
- 2. 【論文閱讀筆記】Beyond Short Snippets: Deep Networks for Video Classification
- 3. 讀書筆記：Beyond Short Snippets: Deep Networks for Video Classification
- 4. Onion-Peel Networks for Deep Video Completion
- 5. ImageNet Classification with Deep Convolutional Neural Networks
- 6. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
- 7. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
- 8. AlexNet解析：ImageNet Classification with Deep Convolutional Neural Networks
- 9. SlowFast Networks for Video Recognition
- 10. Spatiotemporal Residual Networks for Video Action Recognition
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相關文章
- 1. [翻譯]Beyond Short Snippets: Deep Networks for Video Classification
- 2. 【論文閱讀筆記】Beyond Short Snippets: Deep Networks for Video Classification
- 3. 讀書筆記：Beyond Short Snippets: Deep Networks for Video Classification
- 4. Onion-Peel Networks for Deep Video Completion
- 5. ImageNet Classification with Deep Convolutional Neural Networks
- 6. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
- 7. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
- 8. AlexNet解析：ImageNet Classification with Deep Convolutional Neural Networks
- 9. SlowFast Networks for Video Recognition
- 10. Spatiotemporal Residual Networks for Video Action Recognition