Comments (3)
ma-xu
commented on August 26, 2024
@hht1996ok please see # #1 (comment)
It is common to get different results by runing same codes for ModelNet40 benchmark due to the randomness.
You can get the same results using provided checkpoint.
from pointmlp-pytorch.
ma-xu
commented on August 26, 2024
@hht1996ok Also, please see News & Updates in README.md:
⏩ Questions on ModelNet40 classification reproduction
The performance on ModelNet40 of almost all methods are not stable, see (CVMI-Lab/PAConv#9 (comment)). If you run the same codes for several times, you will get different results. Also, the randomness of ModelNet40 is our motivation to experiment on ScanObjectNN benchmark, and to report the mean/std results of several runs.
from pointmlp-pytorch.
hht1996ok
commented on August 26, 2024
Thank you for your reply！
from pointmlp-pytorch.
Related Issues (20)
- About the understanding of geometric affine module HOT 2
- Cite your work HOT 2
- Do you have the training log for part segmentation?
- ONNX export HOT 1
- How can I visualize datasets? HOT 3
- How to visual Fig. 4 in your paper HOT 4
- About implementation of MLP HOT 4
- Questions about paper HOT 3
- How to create the virtual environment? HOT 1
- Hyperparamater about experiment on ScanObjectNN HOT 1
- Maxpooling not performed within each stage? HOT 1
- Error when importing pointnet2_utils HOT 2
- Download Link of ModelNet40 Not Working HOT 2
- Method about rending point cloud HOT 2
- CPU not supported HOT 2
- Equivariance in PointMLP HOT 2
- Unable to import pointnet2_utils HOT 2
- Wrong metric description HOT 1
- How to generate visualization files of scanobjectnn and shapenet and visualize them Thank you very much HOT 1
- Inference result problem
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 pointmlp-pytorch.