C3D-Resnet C3D-Version 2 --论文笔记--ConvNet Architecture Search for Spatiotemporal Feature Learning
这是Du Tran在Learning Spatiotemporal Features with 3D Convolutional Networks之后发表的续篇，相当于C3D的第二个版本，C3D-resnet.我个人觉得这篇文章除了主要探讨C3D-resnet以外，更重要的是对CNN卷积结构在时空特征表现上的一个深入探讨。大部分工作还是基于UCF-101，而且从头训练，很利于在硬件条件有限的情况下
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相关文章
- 1. 论文笔记——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 2. 论文笔记《Neural Architecture Search With Reinforcement Learning》
- 3. 【论文笔记】：NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
- 4. 论文笔记之--Joint Detection and Identification Feature Learning for Person Search
- 5. 1604.Joint Detection and Identification Feature Learning for Person Search论文阅读笔记
- 6. 论文笔记：DARTS: Differentiable Architecture Search
- 7. 论文阅读笔记（四十）：Learning Spatiotemporal Features with 3D Convolutional Networks（C3D）
- 8. 论文笔记：Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
- 9. 论文笔记《Self-Attention ConvLSTM for Spatiotemporal Prediction》
- 10. NAS论文笔记——Progressive Neural Architecture Search