Comments (1)
Thank you very much for your work. What I want to ask is that I used a certain enhancement method to increase the "Source only" to 62. I think this enhances the generalization ability of the model to a certain extent. But when using the target domain for migration, the final effect is actually lower than the 71.8 in the paper?
Thank you very much for your work. What I want to ask is that I used a certain enhancement method to increase the "Source only" to 62. I think this enhances the generalization ability of the model to a certain extent. But when using the target domain for migration, the final effect is actually lower than the 71.8 in the paper?
I think the adaptation performance does not strictly correlate with that of the "source-only" baseline, so this experiment you conducted is quite normal. Maybe you could adjust the trade-off parameters or something else to test the adaptation performance.
from shot.
Related Issues (20)
- ResNet baseline vs. source only HOT 1
- Can not reproduce source only score of Office-31 HOT 2
- The reasons for locking the source classifier HOT 2
- Not able to reproduce Open Set numbers HOT 7
- can not reproduce the result of VisDA-C HOT 1
- Var iter_test in function train_target is not defined
- Pretrained checkpoints HOT 2
- use domainnet dataset HOT 4
- Unable to compile SHOT
- can't reproduce the result of office and office-home
- Can not reproduce ODA result HOT 1
- Pretrained source model obtain random-level output HOT 2
- Pseudo-labeling HOT 1
- -
- The test loader and the target loader are consistent HOT 1
- 您的这行代码似乎有问题?initc = aff.transpose().dot(all_fea) HOT 2
- Can't reproduce the Office-Home results HOT 2
- Error when running code: "RuntimeError: Trying to backward through the graph a second time"
- Fair diversity Term
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 shot.