Video Classification with Channel-Separated Convolutional Netwroks 论文阅读

时间 2021-01-02

标签动作识别深度学习神经网络繁體版

原文原文链接

论文地址：https://arxiv.org/abs/1904.02811 Github：https://github.com/facebookresearch/VMZ 论文思想：这篇文章的主要出发点就是降低3D网络的参数量，并且希望找到对于3D网络来说哪些维度的信息是更重要的，以及如何平衡参数量和准确率。主要是借助了分组卷积，通道分离的思想。并且提出了一个通道interactions的概念：

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1. 【论文阅读笔记】Large-scale Video Classification with Convolutional Neural Networks
2. 行为识别论文阅读 | Large-scale Video Classification with Convolutional Neural Networks
3. 论文阅读：《Convolutional Neural Networks for Sentence Classification》
4. 论文阅读：Learnable pooling with Context Gating for video classification
5. 《Bag of Tricks for Image Classification with Convolutional Neural Networks》论文阅读笔记
6. [论文阅读]Bag of Tricks for Image Classification with Convolutional Neural Networks
7. 《SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS》论文阅读
8. 论文阅读总结（SEMI-SUPERVIED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS）
9. 《ImageNet Classification with Deep Convolutional Neural Networks》论文阅读
10. semi_supervised classification with graph convolutional networks论文阅读报告(1)

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