https://github.com/kahsolt/ew-mtcnn-unofficial
Unofficial implementation of EW-MTCNN for image emotion classification
https://github.com/kahsolt/ew-mtcnn-unofficial
emotion-analysis image-emotion-classification mikels-s-emotion-wheel wheel-of-emotion
Last synced: 3 months ago
JSON representation
Unofficial implementation of EW-MTCNN for image emotion classification
- Host: GitHub
- URL: https://github.com/kahsolt/ew-mtcnn-unofficial
- Owner: Kahsolt
- License: mit
- Created: 2023-12-11T13:40:32.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-01-11T03:45:37.000Z (over 1 year ago)
- Last Synced: 2025-01-03T16:28:23.250Z (5 months ago)
- Topics: emotion-analysis, image-emotion-classification, mikels-s-emotion-wheel, wheel-of-emotion
- Language: Python
- Homepage:
- Size: 2.8 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# EW-MTCNN-unofficial
Unofficial implementation of EW-MTCNN for image emotion classification
----
复现论文: [基于情感轮和多任务卷积神经网络的图像情感分布学习 (2022) 赖金水,万中英,曾雪强](https://lkxb.jxnu.edu.cn/oa/DArticle.aspx?type=view&id=202204006)
这个论文甚至还有后续破事水 [融合情感轮注意力的情感分布学习 (2023) 陈启凡,曾雪强,左家莉,万中英,王明文](http://cea.ceaj.org/CN/10.3778/j.issn.1002-8331.2108-0356);或者看 [CSDN博客解读](https://blog.csdn.net/PLANTTHESON/article/details/132912287)**结论:能复现出论文数据,但情感轮先验层基本上卵用没用,严重拉低精度还不如没有 🤬**
⚪ 模型结构

⚪ 情感轮先验层权重

⚪ **训练集**精度 (我懒得做五折交叉了)
⚠ inplace eval on trainset :(
| `-I` | `-M` | cls_acc ↑ | sdl_kl ↓ | comment |
| :-: | :-: | :-: | :-: |
| none | - | **74.747%** | **0.0456907** | 不使用情感轮先验层 |
| original | freeze | 50.051% | 0.0912462 | 冻结情感轮先验层权重 |
| original | unfreeze | 48.939% | 0.0741477 | 允许情感轮先验层参与微调 |
| eye | unfreeze | 48.485% | 0.0774974 | 对角阵初始化 |
| rand | unfreeze | 47.778% | 0.0732538 | 随机初始化 |
| corr | freeze | 19.141% | 0.1249517 | |
| corr | unfreeze | 27.677% | 0.1199178 | |### references
- 论文
- 摘要: [https://lkxb.jxnu.edu.cn/oa/DArticle.aspx?type=view&id=202204006](https://lkxb.jxnu.edu.cn/oa/DArticle.aspx?type=view&id=202204006)
- 下载: [https://lkxb.jxnu.edu.cn/oa/pdfdow.aspx?Sid=202204006](https://lkxb.jxnu.edu.cn/oa/pdfdow.aspx?Sid=202204006)
- Emotion6 数据集
- 主页: [http://chenlab.ece.cornell.edu/downloads.html](http://chenlab.ece.cornell.edu/downloads.html)
- 下载: [http://chenlab.ece.cornell.edu/people/kuanchuan/publications/Emotion6.zip](http://chenlab.ece.cornell.edu/people/kuanchuan/publications/Emotion6.zip)----
by Armit
2023/12/11