为了克服网络加深带来的退化问题, SE-Res2Net 模块利用通道分组提取高光谱图像细粒度的多尺度特征得到多个不同粒度的感受野, 并采用通道优化模块从通道层面量化特征图的重要性. 为了进一步从空间维和光谱维同时优化特征, 构建多尺度空谱融合的注意力模块, 利用非对称卷积在不同尺度上挖掘不同空间位置和不同光谱维特征...
In order to overcome the degradation problem caused by network deepening, the SE-Res2Net module uses channel grouping to extract fine-grained multi-scale features of hyperspectral images, and gets multiple receptive fields of different granularity. Then, the channel optimi...
This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spe
resnet的演化(res2net,resnext,se-resnet,sk-resnet,resnest) 1. 总体演化过程 演化方向主要为两种: split-transform-merge、squeeze-and-attention。 split-transform-merge:通过卷积的可分离性质,增加网络宽度,从而在不增加算力的情况下增加网络的表征能力(不同维度通道特征的融合)。 squ... ...
In order to extract more discriminative features for hyperspectral image and prevent the network from degrading caused by deepening, a novel multi-scale feature extraction module SE-Res2Net based on the new dimensional residual network (Res2Net) and squeeze and exception network (SENet), and a ...
SE-Res2Net网络宫颈癌超声图像采样特征提取识别性能为了有效提高宫颈癌的诊断准确率,提出一种基于SE-Res2Net网络的宫颈癌超声肿瘤特征提取技术.在YOLOv3算法模型的基础上,将SE模块嵌入Res2Net网络中,创建一种能够替换原特征提取网络的SE-Res2Net网络,使模型的特征提取能力得到提升.利用重新构建的下采样模块,保证了下...
多尺度特征注意力机制为了提取更具有判决力的高光谱图像特征,并防止网络因加深导致退化,在新维度残差网络(Res2Net)和压缩激活网络(squeeze and excitation network,SENet)的基础上,提出新型多尺度特征提取模块SE-Res2Net,并设计多尺度空谱融合注意力模块.为了克服网络加深带来的退化问题,SE-Res2Net模块利...
测得含有黄曲霉素以及不含有黄曲霉素的待测物的差分拉曼光谱;构建模型,初始化模型参数;将黄曲霉素的差分拉曼光谱和待测物的差分拉曼光谱输入模型得到特征图X;将特征图X输入Res2Net模块,得到特征图Y5;将特征图Y5输入SE模块,得到特征图f';通过跳跃连接的方式将特征图X连接到特征图f'上,得到特征图f;得到待测...
040 1 and equal error rate (EER) was 0. 52%, which were significantly better than the other three models. Results show that the ASP-SERes2Net algorithm has better performance and is suitable for speaker recognition applied in noise environment.令晓明陈鸿雁张小玉...
convolutional neural networkSENetRes2Netanti-noise abilityThe complex application environments of frame structures and the similar vibration signals between different locations make it difficult to accurately diagnose damage using traditional methods. Based on modifying the parameters and configuration of the ...