C3D-Resnet C3D-Version 2 --論文筆記--ConvNet Architecture Search for Spatiotemporal Feature Learning
這是Du Tran在Learning Spatiotemporal Features with 3D Convolutional Networks之後發表的續篇，相當於C3D的第二個版本，C3D-resnet.我個人覺得這篇文章除了主要探討C3D-resnet以外，更重要的是對CNN卷積結構在時空特徵表現上的一個深入探討。大部分工作還是基於UCF-101，而且從頭訓練，很利於在硬件條件有限的情況下
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相關文章
- 1. 論文筆記——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 2. 論文筆記《Neural Architecture Search With Reinforcement Learning》
- 3. 【論文筆記】：NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
- 4. 論文筆記之--Joint Detection and Identification Feature Learning for Person Search
- 5. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
- 6. 論文筆記：DARTS: Differentiable Architecture Search
- 7. 論文閱讀筆記（四十）：Learning Spatiotemporal Features with 3D Convolutional Networks（C3D）
- 8. 論文筆記：Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
- 9. 論文筆記《Self-Attention ConvLSTM for Spatiotemporal Prediction》
- 10. NAS論文筆記——Progressive Neural Architecture Search