论文笔记：Learning to Detect Violent Videos using Convolutional Long Short-Term Memory
论文链接：Learning to Detect Violent Videos using Convolutional Long Short-Term Memory 目标 给一段视频，判断是暴力视频(violent)还是非暴力视频(non-violent) 方法 使用convLSTM，对视频提取时空特征(spatial&temporal)，进行二分类 以前的深度学习做法是，先用CNN提取视频帧的特征
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相关文章
- 1. 论文笔记：Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks
- 2. Convolutional Sequence to Sequence Learning 论文笔记
- 3. 论文阅读笔记（四十）：Learning Spatiotemporal Features with 3D Convolutional Networks（C3D）
- 4. 论文学习:Learning to Generate Time-Lapse Videos Using Multi-StageDynamic Generative Adversarial Networks
- 5. Learning from Monocular Videos 论文笔记(转)
- 6. 《SpotGarbage: Smartphone App to Detect Garbage UsingDeep Learning》论文笔记
- 7. 《Learning to Adapt Invariance in Memory for Person Re-identification》论文笔记
- 8. TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation（论文翻译）
- 9. Machine Learning & Deep Learning 论文阅读笔记
- 10. 论文笔记《Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Ne