HNzhaoyli / attention-moduleLinks
深度学习 注意力机制模块 时间 空间注意力通道
☆30Updated 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☆484Updated 3 years ago
- ☆304Updated 3 years ago
- 🕹️SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy☆312Updated 11 months ago
- ☆19Updated last year
- 深度学习中各种即插即用小模块☆427Updated last year
- The official PyTorch implementation of our paper "MCA: Multidimensional collaborative attention in deep convolutional neural networks for…☆67Updated last year
- 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!!!☆255Updated 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
- ResNet50 猫狗数据集训练☆30Updated 4 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…☆96Updated 4 years ago
- ☆83Updated last year
- code and trained models for "Attentional Feature Fusion"☆793Updated 4 years ago
- CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch☆120Updated 5 years ago
- Implementation Code for the ICCASSP 2023 paper " Efficient Multi-Scale Attention Module with Cross-Spatial Learning" and is available at:…☆253Updated 7 months ago
- 这是一个srgan-keras的源码,可以用于训练自己的模型。☆58Updated 2 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
- ☆96Updated 4 years ago
- 基于Swin-transformer训练图像分类并部署web端☆94Updated 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。☆132Updated 4 years ago
- 基于PyTorch框架实现的图像分类网络☆82Updated 4 years ago
- 使用Pytorch实现GAN 的过程☆61Updated 3 months ago
- 用Pytorch从零实现各种GAN模型☆19Updated 4 years ago
- 使用ResNet网络进行十种食物图像分类,基于迁移学习方法训练☆21Updated 2 years ago
- Python实现提取图像的纹理、颜色特征,包含快速灰度共现矩阵(GLCM)、LBP特征、颜色矩、颜色直方图。☆406Updated 5 years ago
- fpn_resnet、resnet-se、resnet-cbam☆33Updated 5 years ago
- 博客论文列表:分系列整理☆387Updated last year
- FcaNet: Frequency Channel Attention Networks☆563Updated 4 years ago
- ☆64Updated 2 years ago
- 适合小白入门的图像分类项目,从熟悉到熟练图像分类的流程,搭建自己的分类网络结构以及在pytorch中运用经典的分类网络。☆69Updated 5 years ago
- 用于pytorch的图像分类,包含多种模型方法,比如AlexNet,VGG,GoogleNet,ResNet,DenseNet等等,包含可完整运行的代码。除此之外,也有colab的在线运行代码,可以直接在colab在线运行查看结果。也可以迁移到自己的数据集进行迁移学习。☆240Updated last year