Comments (5)
Hello @sudabai666 Thank you for asking. Could you please be a little more specific on which part you are having a problem with? Thanks again.
from openlongtailrecognition-oltr.
Since it has been more than 20 days, we will close this issue by now. If you are having more questions, we will open it again. Thank you very much!
from openlongtailrecognition-oltr.
I guess he meant Eq.(6).
Should be
ex = (norm_x**2 / (1 + norm_x**2)) * (input / norm_x)
instead of
ex = (norm_x / (1 + norm_x)) * (input / norm_x)
.
from openlongtailrecognition-oltr.
@drcege and @sudabai666 Thanks for asking. As in issue #14 actually it was a typo in the paper. However, we have tried both ways for the normalization, with and without squares, it worked almost the same. You are welcomed to test it out as well. We will fix it in the text as soon as possible!
from openlongtailrecognition-oltr.
@zhmiao I find it's confused to use reachability and CosNormClassifier. Since the feature will be normalized in CosNormClassifier, why bother scaling it with reachability?
from openlongtailrecognition-oltr.
Related Issues (20)
- Implementation for methods cost sensitive, meta regression and meta model net? HOT 1
- Reproducing OLTR results HOT 3
- Stage 2 multi GPU
- why fix all parameters except self attention parameters? HOT 4
- Table 2 results HOT 2
- Pretrained Weights for Places_LT?
- the use of fc layer HOT 2
- the accuracy of the train and val HOT 2
- how to compute centroids?
- Why the input dimension of the `fc_spatial` layer in `ModulatedAttLayer` is 7*7*in_channel? HOT 1
- Many_shot_accuracy_top1: nan on my own dataset HOT 1
- Revised F-measure results for other models in your paper
- Applications for face recognition
- Error when running stage_1.py under Places_LT
- Unable to reproduce baseline result on ImageNet-LT HOT 1
- BUG: stage1 test error!!
- Could you please give me an example of arranging ILSVRC2014 dataset? HOT 7
- Implementation on Inat-18
- About Class aware sampler
- The role of untrained FC(add_fc)
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 openlongtailrecognition-oltr.