【论文笔记】(HEVC)《Recursive Residual Convolutional Neural NetworkBased In-Loop Filtering ..》

时间 2021-08-15

标签论文笔记深度学习繁體版

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《Recursive Residual Convolutional Neural NetworkBased In-Loop Filtering for Intra Frames》阅读笔记 problems 深层网络需要考虑退化和训练难度的问题 motivation 提出RRCNN，有利于实现深层网络，在增强学习能力的同时而不需考虑退化问题，递归使用一组权值，利用更少的参数实现好的效果。 shor

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1. 【论文笔记】(HEVC)《Multi-stage Attention Convolutional Neural Networks for HEVC In-Loop Filtering》
2. 论文笔记：Neural Collaborative Filtering
3. 【论文笔记】Neural Collaborative Filtering
4. 论文笔记：AAAI 2020 Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional
5. [论文笔记] [2016] [NIPS] Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
6. 论文笔记：Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
7. 论文笔记——Factorized Convolutional Neural Networks
8. 论文笔记：Neural Graph Collaborative Filtering
9. 论文笔记：Neural Collaborative Filtering(NCF)
10. 【论文笔记】Neural Graph Collaborative Filtering

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