HNzhaoyli / attention-module
深度学习 注意力机制模块 时间 空间注意力通道
☆28Updated last year
Alternatives and similar repositories for attention-module:
Users that are interested in attention-module are comparing it to the libraries listed below
- ☆295Updated 3 years ago
- ResNet50 猫狗数据集训练☆28Updated 3 years ago
- Implementation Code for the ICCASSP 2023 paper " Efficient Multi-Scale Attention Module with Cross-Spatial Learning" and is available at:…☆213Updated last month
- CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch☆108Updated 5 years ago
- Self-attention、Non-local、SE、SK、CBAM、DANet☆459Updated 3 years ago
- 这个仓库主要包含了LSTM、卷积神经网络中,注意力机制的实现。☆131Updated 3 years ago
- ☆32Updated 9 months ago
- 🕹️SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy☆292Updated 5 months ago
- 深度学习中各种即插即用小模块☆340Updated 10 months ago
- The official PyTorch implementation of our paper "MCA: Multidimensional collaborative attention in deep convolutional neural networks for…☆56Updated last year
- Hybrid attention module☆25Updated 2 years ago
- 多模态数据融合:为了完成多模态数据融合,首先利用VGG16网络和cifar10数据集完成多输入网络的分类,在VGG16的基础之上,将前三层特征提取网络作为不同输入的特征提取网络,在中间层进行特征拼接,后面的卷积层用于提取融合特征,最后加上全连接层。该网络稍作修改就能同时提取…☆81Updated 4 years ago
- CNN经典网络结构复现:LeNet5、AlexNet、VGG、ResNet、InceptionNet等。☆85Updated 3 years ago
- ☆15Updated 9 months ago
- 基于PyTorch框架实现的图像分类网络☆75Updated 4 years ago
- Some basic neural network implement by tf2.0☆28Updated 2 years ago
- fpn_resnet、resnet-se、resnet-cbam☆33Updated 4 years ago
- Gluon implementation of channel-attention modules: SE, ECA, GCT☆38Updated 3 years ago
- Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks☆255Updated 3 years ago
- CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0☆74Updated 4 years ago
- ☆94Updated 3 years ago
- 这是各个主干网络分类模型的源码,可以用于训练自己的分类模型。☆68Updated last year
- 基于Swin-transformer训练图像分类并部署web端☆85Updated 2 years ago
- ☆153Updated 3 years ago
- 里面会保存许多优秀的卷积神经网络结构,这些结构可以帮助我们更好的设计网络。☆142Updated 3 years ago
- 本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络,图像生成网络等,并会持续更新!!!☆239Updated 9 months ago
- 这是各个主干网络分类模型的源码,可以用于训练自己的分类模型。☆412Updated 2 years ago
- ☆34Updated last year
- 这是一个srgan-keras的源码,可以用于训练自己的模型。☆54Updated 2 years ago