【图像超分辨率】Multi-scale Residual Network for Image Super-Resolution,程序员大本营,技术文章内容聚合第一站。
scale to extract features from the sequence, which makes part of the local features lost, resulting in low recognition accuracy of electrical appliances Aiming at the low accuracy of non-intrusive energy disaggregation with low-frequency sampling, a sequential multi-scale residual network is proposed....
Multi-scale residual networkHybrid attentionEEG decodingMotor imageryEEG decoding plays a crucial role in the development of motor imagery brain-computer interface. Deep learning has great potential to automatically extract EEG features for end-to-end decoding. Currently, the deep learning is faced ...
文献阅读:Multi-scale Residual Network for Image Super-Resolution,程序员大本营,技术文章内容聚合第一站。
Attention-enhanced multi-scale residual network for single image super-resolution Multi-scale residual networkSignal, Image and Video Processing - Single image super-resolution (SISR) has important applications in many fields. With the ... Y Sun,J Qin,X Gao,... - 《Signal Image & Video Proces...
network for SISR, known as attention-based multi-scale residual network (AMSRN). In detail, a residual atrous spatial pyramid pooling (ASPP) block as well as a spatial and channel-wise attention residual (SCAR) block is stacked alternately to support the main framework of the entire network....
Firstly, the residual network is integrated into a multiscale manner to obtain the characteristics of ECG data at different scales and then increase the channel spatial attention mechanism to better focus on more important channels and more important ECG data fragments. Finally, the model is used ...
MSRN_PyTorch This repository is an official PyTorch implementation of the paper "Multi-scale Residual Network for Image Super-Resolution". Paper can be download fromMSRN All test datasets (Preprocessed HR images) can be downloaded fromhere.
【图像超分辨率】Single image super-resolution using multi-scale feature enhancement attention residual net,程序员大本营,技术文章内容聚合第一站。
Multi-scale Residual Network for Image Super-Resolution 论文理解,程序员大本营,技术文章内容聚合第一站。