Comments (7)
Hello @in-my-heart,
Thank you for your interest in our work. The counterfactual paper used PS2.0 splits whereas our paper uses PS1.0 . The 2% drop mentioned in the counterfactual paper exists because of PS2.0.
Also, when you are changing the pytorch version from 0.3.1 to 1.8 you will need to do the hyperparameter search again.
from tfvaegan.
Hello @in-my-heart,
Thank you for your interest in our work. The counterfactual paper used PS2.0 splits whereas our paper uses PS1.0 . The 2% drop mentioned in the counterfactual paper exists because of PS2.0.
Also, when you are changing the pytorch version from 0.3.1 to 1.8 you will need to do the hyperparameter search again.
Hello @in-my-heart,
Thank you for your interest in our work. The counterfactual paper used PS2.0 splits whereas our paper uses PS1.0 . The 2% drop mentioned in the counterfactual paper exists because of PS2.0.
Also, when you are changing the pytorch version from 0.3.1 to 1.8 you will need to do the hyperparameter search again.
soga,Let me confirm: PSv1 is used in the paper, but the link(https://drive.google.com/drive/folders/16Xk1eFSWjQTtuQivTogMmvL3P6F_084u?usp=sharing) to the dataset you provided is PSv2. So the result I got using the dataset you provided will be a bit lower than the paper.
from tfvaegan.
Hello, @in-my-heart the training data link I provided is for the PSv1 split. if you run our code using the PSv2 split the numbers will be lower as reported by the counterfactual paper.
from tfvaegan.
Hello, @in-my-heart the training data link I provided is for the PSv1 split. if you run our code using the PSv2 split the numbers will be lower as reported by the counterfactual paper.
Sorry to disturb you, this is the split of the cub dataset I downloaded from your link. Is this v1?
from tfvaegan.
@in-my-heart if you downloaded the dataset from the drive I shared then its correct this is v1 dataset.
from tfvaegan.
@in-my-heart if you downloaded the dataset from the drive I shared then its correct this is v1 dataset.
I'm really sorry to trouble you for so long, I want to ask you question about psv2. This smallquestion puzzled me for a long time.
Q1:《Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly》
Are the SS and PS in the figure below proposed in this paper psv1 and psv2 respectively? (note that I use matlab software to determine that your data link is PS)
from tfvaegan.
@in-my-heart For our paper, we used the psv1 which were uploaded by the original authors on the webpage.
from tfvaegan.
Related Issues (20)
- Could you share the codes to fineturn resnet, extract visual features and generate .mat files? HOT 1
- Question on training custom dataset HOT 3
- There is problem with AWA2!! HOT 3
- ModuleNotFoundError: No module named 'util' HOT 1
- Transductive Setting HOT 6
- Recreating ResNet visual features HOT 3
- performance about CUB dataset HOT 7
- epoch 0 HOT 7
- classify HOT 5
- 'Variable' object has no attribute 'getLayersOutDet' HOT 7
- Transductive setting's hyperparameters HOT 1
- Model selection criteria HOT 4
- Question about argparse HOT 2
- Questions about training HOT 10
- What is the training unseen feature under transductive setting?
- Question about training on action recognition HOT 1
- About the loss in the training process HOT 3
- Question regarding fine-tuned features HOT 1
- role of parameter
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 tfvaegan.