HNzhaoyli / attention-moduleLinks
深度学习 注意力机制模块 时间 空间注意力通道
☆31Updated 2 years ago
Alternatives and similar repositories for attention-module
Users that are interested in attention-module are comparing it to the libraries listed below
Sorting:
- Self-attention、Non-local、SE、SK、CBAM、DANet☆485Updated 3 years ago
- ☆19Updated last year
- ☆304Updated 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!!!☆257Updated last year
- 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…☆96Updated 4 years ago
- 基于Swin-transformer训练图像分类并部署web端☆94Updated 3 years ago
- ResNet50 猫狗数据集训练☆31Updated 4 years ago
- 🕹️SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy☆315Updated last year
- 深度学习中各种即插即用小模块☆433Updated last year
- pytorch版—使用resnet50迁移学习实现皮肤病图片的二分类☆125Updated 5 years ago
- Implementation Code for the ICCASSP 2023 paper " Efficient Multi-Scale Attention Module with Cross-Spatial Learning" and is available at:…☆256Updated 8 months ago
- ☆96Updated 4 years ago
- CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch☆121Updated 5 years ago
- ☆83Updated last year
- fpn_resnet、resnet-se、resnet-cbam☆33Updated 5 years ago
- The official PyTorch implementation of our paper "MCA: Multidimensional collaborative attention in deep convolutional neural networks for…☆67Updated last year
- CNN经典网络结构复现:LeNet5、AlexNet、VGG、ResNet、InceptionNet等。☆97Updated 4 years ago
- 用Pytorch从零实现各种GAN模型☆19Updated 4 years ago
- Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https…☆94Updated 3 years ago
- The official pytorch implemention of our ICML-2021 paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Netwo…☆446Updated 2 years ago
- 使用Pytorch实现GAN 的过程☆61Updated 4 months 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。☆132Updated 4 years ago
- 基于PyTorch框架实现的图像分类网络☆84Updated 4 years ago
- 资源受限环境下、大规模肺炎早筛方法。采用DSHNet生成少类样本数据,解决数据不平衡的问题,然后利用RSFNet进行分类,最后结合剪枝策略实现轻量化!MedGAN-ResLite-V2 is released! ❤☆29Updated last year
- Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks☆262Updated 4 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。☆431Updated 2 years ago
- Elsevier template 'elsarticle'.☆163Updated 2 years ago
- FcaNet: Frequency Channel Attention Networks☆565Updated 4 years ago
- ☆64Updated 2 years ago
- 基于Pytorch实现优秀的自然图像分割框架!(包括FCN、U-Net和Deeplab)☆65Updated 4 years ago