GanHY97 / Classification-by-Fusing-Multimodal-DataLinks
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
Alternatives and similar repositories for Classification-by-Fusing-Multimodal-Data
Users that are interested in Classification-by-Fusing-Multimodal-Data are comparing it to the libraries listed below
Sorting:
- 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…☆98Updated 5 years ago
- 使用pytorch完成的一个多模态分类任务,文本和图像部分分别使用了bert和resnet提取特征(在config里可以组合多种模型),在我的小规模数据集上取得了良好的性能(验证集acc96%)☆80Updated 2 years ago
- ☆33Updated last year
- 多模态情感分析——基于BERT+ResNet的多种融合方法☆325Updated 2 years ago
- 该仓库存放了多模态情感分析实验的配套代码。☆42Updated 3 years ago
- multimodal social media content (text, image) classification☆50Updated 3 years ago
- Bimodal and Unimodal Sentiment Analysis of Internet Memes (Image+Text)☆16Updated 4 years ago
- This is the code for the Paper "Guilherme L. Toledo, Ricardo M. Marcacini: Transfer Learning with Joint Fine-Tuning for Multimodal Sentim…☆16Updated 3 years ago
- Multimodal sentiment analysis using transformer encoders and fusion across text, audio, and visual features on the CMU-MOSEI dataset usin…☆10Updated 4 months ago
- 采用vit实现图像分类☆28Updated 2 years ago
- Source codes of the our paper titled "Multi-level Textual-Visual Alignment and Fusion Network for Multimodal Aspect-based Sentiment Analy…☆13Updated last year
- 深度学习 注意力机制模块 时间 空间注意力通道☆33Updated 2 years ago
- 多模态融合情感分析☆133Updated 5 years ago
- 基于Swin-transformer训练图像分类并部署web端☆94Updated 3 years ago
- 基于PyTorch框架实现的图像分类网络☆85Updated 4 years ago
- 利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合 ,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码☆31Updated 4 years ago
- [ACMMM 2020] Code release for "Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion"☆28Updated 4 years ago
- AAAI 2022 papers with code☆37Updated 3 years ago
- 用Pytorch从零实现各种GAN模型☆20Updated 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
- 学术性论文的创造力评估☆15Updated 3 years ago
- 基于深度学习卷积神经网络的图像分类的GUI界面☆25Updated last month
- 文本分类, 双向lstm + attention 算法☆90Updated 5 years ago
- Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"☆82Updated 4 years ago
- A fine multimodality fusion network :)☆11Updated 4 years ago
- 基于Pytorch的图像分类框架☆95Updated last month
- 基于深度学习的文本分类,实现基于CNN和RNN的文本分类☆11Updated 4 years ago
- CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation☆17Updated 3 years ago
- Code for UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning (ACL 2023)☆37Updated last year
- 这里有全网最全的数据集,持续更新中~☆13Updated 3 years ago