Beyond Short Snippets: Deep Networks for Video Classiﬁcation简介

时间 2021-01-02

标签视频分类论文繁體版

原文原文链接

Beyond Short Snippets: Deep Networks for Video Classiﬁcation Abstract 使用在imageNet上预训练过的CNN（AlexNet或者GoogleLeNet）提取帧级特征，再将帧级特征和提取到的光流特征输入到池化框架或者LSTM进行训练，得到分类结果。 Introduction 1.提出采用CNN来得到视频级的全局描述，并且证明增大

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1. [翻译]Beyond Short Snippets: Deep Networks for Video Classification
2. 【论文阅读笔记】Beyond Short Snippets: Deep Networks for Video Classification
3. 读书笔记：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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1. [翻译]Beyond Short Snippets: Deep Networks for Video Classification
2. 【论文阅读笔记】Beyond Short Snippets: Deep Networks for Video Classification
3. 读书笔记：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

>>更多相关文章<<