Comments (11)
Yeah, turns out the implementation is rather trivial when implemented on its own. This shouldn't be a problem.
However, instead of adding it to the utils, I have added it as a static function inside the layer (see PR #407) similar to Beta sampling in MixUp
and FourierMix
.
from keras-cv.
What is Applies Confidence Adjusted Mixup (CAMixup) regularization!
Is CONFIDENCE ADJUSTED MIXUP ENSEMBLES
in:
https://arxiv.org/abs/2010.09875
from keras-cv.
cc. @AakashKumarNain
Ref.
from keras-cv.
google/uncertainty-baselines@274772f
from keras-cv.
What is Applies Confidence Adjusted Mixup (CAMixup) regularization!
from keras-cv.
Thanks for opening this. I'll be including this soon from tf similarity
from keras-cv.
I was looking to implement this but there seems to be no implementation of Dirichlet outside tensorflow_probability (which I assume can't be used). The only other option seems to be the implementation of the distribution as part of utils (which seems unnecessarily tedious).
I would love any suggestions here!
from keras-cv.
There is also in Tensorflow but It is a v1 symbol (TF 1.x/compat) so we cannot use It:
I suppose that it was not maintained as an API in TF2 cause these kind of things are handled in TFP.
from keras-cv.
We can't use tfp here though, right?
from keras-cv.
I was looking to implement this but there seems to be no implementation of Dirichlet outside tensorflow_probability (which I assume can't be used). The only other option seems to be the implementation of the distribution as part of utils (which seems unnecessarily tedious).
I would love any suggestions here!
Good question. I have not given the interaction with TFP any thought. My instinct is if the only extra offering we get by adding it is Augmix that it may not be worth adding it as a dep.
from keras-cv.
The only other option seems to be the implementation of the distribution as part of utils (which seems unnecessarily tedious).
If using tfp is not an option, I think it may be needed to add this distribution as part of utils (sounds unpleasant, agree).
Because who knows, we may need it for other cases, LIKE.
from keras-cv.
Related Issues (20)
- bugs in object detection kpl
- incompatibility issue between keras_cv and TensorFlow and keras in windows 10 HOT 3
- stable_diffusion vs diffusion_model HOT 2
- Is image warping already ported from tfa? HOT 2
- yolo_v8_detector not compatible with torch backend because no good option for ragged tensor HOT 3
- kerascv layers demonstration HOT 2
- Boxes from TensorFlow Serving HOT 5
- KerasCV on Google Colab HOT 7
- How does Keras-YOLOv7 deal with conv2d layer padding bug? HOT 6
- Getting 'Killed' while trying to run 'pytest keras_cv' HOT 4
- Support `CutMix` for video data HOT 8
- Issue with KerasCV list of models in the documlentation
- CLIP result seems wrong HOT 5
- Add test for `roi_align`
- Import `keras_cv` fails on current master HOT 4
- Inconsistency between PyCOCOCallback and BoxCOCOMetrics HOT 2
- `bounding_box.to_ragged()` fails with keras 3. HOT 3
- Add Depth-Anything HOT 2
- Metrics for YOLOv8 model HOT 4
- Division of data into training and validation set & COCO Metric Callback not working with Keras CV implementation as expected 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 keras-cv.