Comments (2)
Hi,
Thanks for your question.
For your first question, can refer to ASL, Q2L for a comprehensive pipeline of multi-label classification code (which contains standard validation code similar to ours).
The ten times larger learning rate of the classifier is used for faster convergency.
As far as we're concerned, there is a dropout layer between the avgpool the the final FC in EfficientnetB3, which might cause different struture settings when CSRA is applied. Try using resnet for a stable improvement.
For imblance, refer to recent multi-label long tail classification paper, where specific loss has been added to cure performance degradation.
Best,
from csra.
Hi,
I have an idea about CSRA performance. I want to know your idea also.
In voco2007 dataset there are 5011 images and 7306 objects. The multi-label objects ratio is (7306-5011)/5011 = % 45.79
In coco dataset there are 82081 images and 241035 objects. The multi-label objects ratio is (241035-82081)/82081 = % 193.64
The best performance gain was obtained for the coco dataset (for VIT-L16 (80.4 -> 86.5) %6.1).
For my dataset multi-label ratio is %9. I think the reason is why I can not get better results is lower multi-label ratio.
I am right?
Thanks
Orhan SIVAZ
from csra.
Related Issues (20)
- some questions about val.py HOT 1
- The problems of val.py? HOT 1
- Partial-label HOT 1
- About the pretrained vit. HOT 2
- Question about Attention Image or Heatmap Generation HOT 1
- Specific improvements to vit HOT 3
- Some problems about vision transformer HOT 1
- Details about baseline resnet-101 in paper HOT 1
- Load Model İssue? HOT 1
- MobileNet implementation of CSRA HOT 4
- About wider_attribute is Cropping individual person attributes ?
- How to use VIT-224 pretrain weight with 448 input size
- Use CSRA module in the ResNet50 model
- visualize function
- Global feature vector
- Is the code consistent with the description in the paper? HOT 4
- MobileNet; input size HOT 2
- Transformer on WiderAttribute predicition HOT 1
- Is 'normalized' classifier necessary? HOT 3
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 csra.