Comments (5)
Dear @linzhlalala,
Thanks for your attention to our paper!
In our experiment, we visualize the attention weights of the first cross attention layer.
To deal with the multiple heads, we select the attention weights from the head which has the largest differences in the attention values.
The visualization code will be cleaned and updated here in the future.
Best,
Zhihong
from r2gen.
Thanks for sharing.
from r2gen.
Dear @linzhlalala,
Thanks for your attention to our paper!
In our experiment, we visualize the attention weights of the first cross attention layer.
To deal with the multiple heads, we select the attention weights from the head which has the largest differences in the attention values.
The visualization code will be cleaned and updated here in the future.
Best,
Zhihong
Hi Zhihong,
Thank you for sharing your code. I am also interested in the Visualizations of image-text attention mapping part in the paper.
Have you cleaned the visualization code? I don't find a good way to visualize the transformer-based model.
from r2gen.
Hi, any progress?
from r2gen.
I don't need the code. The idea is helpful enough. Thanks.
from r2gen.
Related Issues (20)
- About CE Metrics
- How to calculate overall Precision, Recall and F1 with these values of 14 categories? HOT 4
- dataset issues HOT 2
- 关于MIMIC数据集的拆分问题
- The definition of ground truth report
- Wrong number of patients on the official IU_XRAY instances in drive data link. HOT 2
- Caption Generation HOT 30
- Access to MIMIC-CXR HOT 1
- Does difference between torch and torchvision versions cause a big difference in evaluation results?
- Base Model without RM and MCLN
- self.examples[i]['mask'] = [1] * len(self.examples[i]['ids'])
- MIMIC Dataset
- Do not have datasets access HOT 3
- Problem on installing requirements
- Can't Download MIMIC-CXR Dataset
- A beam search error occurs during the referencing process
- About Mimic Dataset
- CE MACRO or MICRO as the standard in your paper ? HOT 2
- Datasets HOT 2
- about MIMIC dataset
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from r2gen.