Comments (2)
I appreciate your interest in our data. I would assume you are working on instance segmentation instead of semantic segmentation since you downloaded the 25 datasets. The result we reported in the paper was training (all - 5, 10, 15, 20, 25) and testing set (5, 10, 15, 20, 25). If you would like to compare with HAIS and PointGroup from our paper, it is recommended to do that.
In addition, we are also providing an evaluation server on Codalab (https://codalab.lisn.upsaclay.fr/competitions/4646) and organizing an ECCV workshop (https://urban3dchallenge.github.io/), where we have an additional 3 datasets without releasing the label for competition (in that case, you can train the model with all 25 data sets as you like or use some of them as the validation sets).
I hope this information helps.
from stpls3d.
Thanks! It's very clear now.
from stpls3d.
Related Issues (20)
- Evaluation script for the competition of instance segmentation HOT 3
- SoftGroup for STPLS3D HOT 7
- HAIS one point assigned to multiple instance proposals HOT 4
- about OA_from_confusions in kpconv HOT 1
- How to use the evaluation script for the competition of instance segmentation?
- How to inference in the test set of stpls3d dataset? HOT 2
- mAP (Intersection) calculation in the evaluation script HOT 3
- instance label 0 mean HOT 13
- I want to make my own dataset HOT 6
- Scores in the evaluation script HOT 4
- training with randla HOT 11
- Pre-trained models and dataset generation HOT 6
- Can I use the synthetic data generation pipeline to create my dataset? HOT 1
- Data format of STPLS3D txt point clouds for Instance Segmentation HOT 1
- Error while set up the environment for Instance Segmentation in Ubuntu 20.04 HOT 2
- Interested in the projection code HOT 2
- KPConv-STPLS3D- Data Problem HOT 2
- multi gpu HOT 2
- Download failed in Google Drive HOT 1
- A Problem about HAIS Model in Stpls3d Dataset
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 stpls3d.