Large-scale Video Classification with Convolutional Neural Networks
1. Introduction 图像和视频在互联网上变得无所不在，这鼓励了开发可以分析其语义内容的不同应用程序的算法，包括搜索和摘要。近来，卷积神经网络（CNN）[15]已经被证明是一种有效的模型，用于理解图像内容，为图像识别，分割，检测和检索提供了最先进的结果[11,3,2， 20，9，18]。这些结果背后的关键因素是将网络扩展到数千万个参数和可以支持学习过程的大量标签数据集的技术
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相关文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks
- 2. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
- 3. 【论文学习】Large-scale Video Classification with Convolutional Neural Networks
- 4. 【论文阅读笔记】Large-scale Video Classification with Convolutional Neural Networks
- 5. CV论文笔记（二） Large-scale Video Classification with Convolutional Neural Networks
- 6. 行为识别论文阅读 | Large-scale Video Classification with Convolutional Neural Networks
- 7. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）
- 8. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 9. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 10. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》