Deep convolutional dictionary learningRandom noiseDictionary learning (DL) has been widely used for seismic data denoising. However, it is associated with the following challenges. First, learning a dictionary from one dataset cannot be applied to another dataset and requires setting learning and ...
题目:DeepM2M2CDL: Deep Multi-Scale Multi-Modal Convolutional Dictionary Learning Network DeepM2M2CDL:深度多尺度多模态卷积字典学习网络 作者:Xin Deng; Jingyi Xu; Fangyuan Gao; Xiancheng Sun; Mai Xu 源码链接:https://github.com...
题目:DeepM2M2CDL: Deep Multi-Scale Multi-Modal Convolutional Dictionary Learning Network DeepM2M2CDL:深度多尺度多模态卷积字典学习网络 作者:Xin Deng; Jingyi Xu; Fangyuan Gao; Xiancheng Sun; Mai Xu 源码链接: github.com/JingyiXu404/ 摘要 对于多模态图像处理,由于模态间的复杂依赖性,网络的可解释性...
Hongyi Zheng*, Hongwei Yong*, Lei Zhang, "Deep Convolutional Dictionary Learning for Image Denoising," in CVPR 2021. (* Equal contribution) [paper][supp] The implementation of DCDicL is based on the awesome Image Restoration Toolbox[KAIR]. ...
本文介绍了北京航空航天大学徐迈教授课题组最新发表于IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI2024)上的工作“DeepM2CDL: Deep Multi-scale Multi-modal Convolutional Dictionary Learning Network”。该工作瞄准...
Hongyi Zheng*, Hongwei Yong*, Lei Zhang, "Deep Convolutional Dictionary Learning for Image Denoising," in CVPR 2021. (* Equal contribution) [paper][supp] The implementation of DCDicL is based on the awesome Image Restoration Toolbox[KAIR]. ...
本文介绍了北京航空航天大学徐迈教授课题组最新发表于IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2024)上的工作“DeepM2CDL: Deep Multi-scale Multi-modal Convolutional Dictionary Learning Network”。该工作瞄准跨模态图像间复杂的信息耦合特性,提出了一个基于层级式多尺度可调节字典学习模型...
defconv_forward_naive(x,w,b,conv_param):"""Anaive implementationofthe forward passfora convolutional layer.The input consistsofNdata points,eachwithCchannels,heightHand widthW.We convolve each inputwithFdifferent filters,where each filter spans ...
Fig. 6.Deep Learning Architectures (Rezaeianjouybari & Shang, 2020). 1. Restricted Boltzmann Machine RBM and its variants,2Auto-encoder (AE) and stacked AE (SAE),3.Convolutional Neural Network(CNN),4.Recurrent Neural Network(RNN) as being unidirectional and bi-directional,5. Generative Adversa...
《Move Evaluation in Go Using Deep Convolutional Neural Networks》 介绍: 多伦多大学与Google合作的新论文,深度学习也可以用来下围棋,据说能达到六段水平 《机器学习周刊第二期》 介绍: 新闻,paper,课程,book,system,CES,Roboot,此外还推荐一个深度学习入门与综述资料 《Learning more like a human: 18 free eBo...