woosual / multiModalityFusionForClassificationLinks
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两张对应的图片作为输入,在特征提取之后进行融合用于分类。
☆100Updated 5 years ago
Alternatives and similar repositories for multiModalityFusionForClassification
Users that are interested in multiModalityFusionForClassification are comparing it to the libraries listed below
Sorting:
- Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https…☆97Updated 4 years ago
- 本文采用基于注意 力机制的卷积神经神经网络模型来实现对阿尔兹海默症疾病的分类。采用3D卷积对图像进行特征获取,通过在卷积中添加注意力机制,重点关注疾病脑图像中的患病区域,从而提高分类模型的实验精度。☆32Updated 5 years ago
- 阿尔兹海默症的识别--DataFountain☆47Updated 3 years ago
- pytorch版—使用resnet50迁移学习实现皮肤病图片的二分类☆135Updated 6 years ago
- 基于Swin-transformer训练图像分类并部署web端☆94Updated 3 years ago
- Self-attention、Non-local、SE、SK、CBAM、DANet☆492Updated 4 years ago
- 可视化神经网络☆39Updated 3 years ago
- This is a multi-modal fusion method based on VGG16 and FastText for identifying useful information collected from social media platforms.…☆15Updated 3 years ago
- 深度学习 注意力机制模块 时间 空间注意力通道☆35Updated 2 years ago
- The code for paper "A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification"☆30Updated 3 years ago
- 采用vit实现图像分类☆28Updated 2 years ago
- Swin-Transformer 1D implements☆57Updated last year
- 细粒度图像分类之十二猫分类,对比ResNet和ViT两者模型性能。☆45Updated 3 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
- ☆29Updated last year
- ☆11Updated 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!!!☆270Updated last year
- [ICASSP 2025] Official PyTorch code for training and inference pipeline for DepMamba: Progressive Fusion Mamba for Multimodal Depression …☆88Updated 10 months ago
- ☆12Updated 2 years ago
- ☆24Updated last year
- Bimodal and Unimodal Sentiment Analysis of Internet Memes (Image+Text)☆16Updated 4 years ago
- ☆38Updated 2 years ago
- 深度学习中各种即插即用小模块☆463Updated last year
- ☆32Updated last year
- [ICASSP 2025] Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach☆66Updated 8 months ago
- This is a PyTorch implementation of "Multi-label Classification of Electrocardiogram with Modified Residual Networks" paper.☆18Updated 5 years ago
- Multimodal Fusion, Multimodal Sentiment Analysis☆26Updated 5 years ago
- [ACMMM 2020] Code release for "Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion"☆28Updated 4 years ago
- depression-detect Predicting depression from AVEC2014 using ResNet18.☆58Updated last year
- Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation☆30Updated last year