【论文笔记3】CNNs在图像压缩领域的运用——An End-to-End Compression Framework Based on Convolutional Neural Networks
一、引言 之前写的论文笔记中讲的都是基于RNN的图像压缩网络，本文将要讲的是由哈尔滨工业大学Jiang Feng教授（具体的名字我也不知道怎么写）及其团队成员提出的基于CNN的图像压缩网络。该网络是CNN和标准图像算法在图像压缩领域中的首次结合，取得了state of the art 的效果。原论文请戳此传送门：《An End-to-End Compression Framework Based
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相关文章
- 1. 【论文笔记1】RNN在图像压缩领域的运用——Variable Rate Image Compression with Recurrent Neural Networks
- 2. cs231n --- 3 : Convolutional Neural Networks (CNNs / ConvNets)
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- 4. 【论文笔记】Weakly Supervised Learning Based on Coupled Convolutional Neural Networks for Aircraft Detecti
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- 6. 论文笔记：An Efficient Hardware Accelerator for Sparse Convolutional Neural Networks on FPGAs
- 7. 网络压缩论文整理(network compression)
- 8. 图像质量评估 (IQA) 论文笔记： Convolutional Neural Networks for No-Reference Image Quality Assessment
- 9. 论文笔记 [3] CNN去compression artifacts
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