論文筆記：RGB-D Object Recognition Using Deep Convolutional Neural Networks
論文名稱：RGB-D Object Recognition Using Deep Convolutional Neural Networks 論文地址：https://ieeexplore.ieee.org/document/8265318/ 摘要 與RGB圖像數據相比，目前還沒有包含深度信息的大型數據集，難以從零開始訓練一個有效的深度升神經網絡。因此文章主要提出了一種混合的2D/3D卷積神經網絡
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相關文章
- 1. 論文閱讀-----DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Networks
- 2. 【論文筆記】DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
- 3. Weakly supervised object recognition with convolutional neural networks 論文解讀
- 4. 論文：3D Convolutional Neural Networks for Human Action Recognition
- 5. 論文閱讀筆記（五十六）：Image Super-Resolution Using Deep Convolutional Networks
- 6. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks 論文筆記
- 7. 【DDFD】《Multi-view Face Detection Using Deep Convolutional Neural Networks》
- 8. 論文筆記--AlexNet--ImageNet Classification with Deep Convolutional Neural Networks
- 9. Emotion Recognition Using Graph Convolutional Networks
- 10. 論文筆記1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks