Comments (2)
Hi there,
Thanks for your interests in our project.
The eval.py did not include the weighted sum part. As shown in equation 10 of the paper, the weighted sum is applied at prediction level. You can first generate the predictions and write a simple weighted sum function to aggregate the logits for each question.
I assume that you are referring to Table 3 results, the best results are obtained by only using BAN with the three types of relations. Results on other fusion methods such as BUTD and MUTAN are shown in Table 1.
from vqa_regat.
@linjieli222 thank you for your response. Yes I'm referring to Table 3 results. Did you use
python3 main.py --config config/ban_vqa.json for training
and later on, evaluated the three graph attentions with BAN
python3 eval.py --output_folder pretrained_models/regat_implicit/ban_1_implicit_vqa_196
python3 eval.py --output_folder pretrained_models/regat_implicit/ban_1_semantic_vqa_7971
python3 eval.py --output_folder pretrained_models/regat_implicit/ban_1_spatial_vqa_1687
then answer Predictions are generated through them, and I need to apply equation 10!**
Am I right?
from vqa_regat.
Related Issues (20)
- Training confusion HOT 1
- Some questions about the union bounding box feature vector for classifer mode HOT 1
- Load the cake/val_target. pkl HOT 1
- Some question about semantic relationship classification HOT 1
- Does the setting of num_workers in DataLoder affect the final result? HOT 1
- Learning rate related issues HOT 1
- Wdir(i,j) in Function 8 in the explicit model HOT 6
- The semantic_embedding and spatic_embedding types. HOT 4
- Questions for categories HOT 2
- pos_box/bb HOT 2
- about weighted sum of the three modules
- NOthing HOT 2
- features/model that are interrupted during download doesn't continue from the last checkpoint HOT 5
- Can you tell me the specific label of the semantic relationship type?
- How to test your model with image and text input by a user? HOT 2
- Loss can't backward HOT 2
- attention map
- unhandled cuda error HOT 1
- Can you provide a well-trained model? HOT 1
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 vqa_regat.