Comments (1)
Robert-JunWang
commented on July 24, 2024
They are already in our model. There are only 21 dense layers in total. If you want, you can try use half of the number of dense layers with doubled grow rate for the last two dense blocks. The accuracy is pretty good on Stanford Dogs and the real speed is much faster than the current scheme.
from pelee.
Related Issues (20)
- fine tuning with different number of classes HOT 1
- peele-SSD add_extra_layers_pelee
- About the stanford dog dataset. HOT 3
- 2-way dense layer in code and paper seems mismatch. HOT 2
- how can i get the fps=120 on nvidia tx2? please help me HOT 1
- Calculation of number of parameter, macc, and flops HOT 3
- pytorch pretained model
- max_iter
- Does it support 512 or bigger input size? HOT 1
- question for iteration HOT 1
- can not download the pretrained PeleeNet model
- one question
- Question for peleeNet structure
- How can I train my own model?
- train error
- peleeNet speed in GTX1080ti HOT 1
- Question about 1x1 convolutional kernels to reduce computational cost
- the paper was accepted two years ago???
- Pelee input resolution problem
- question about merge bn?
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 pelee.