Comments (2)
ok,i get it,thank you very much!
from ogc.
Hi @cama36, thanks for your interest in our work.
Our method learns from motions. Therefore in inference, we can only segment objects which we have seen moving in the training data. Many objects in SemanticKITTI, e.g., building, vegetation, are always static and segmenting them is beyond our scope.
from ogc.
Related Issues (10)
- KITTI SF: Downsample missing files HOT 2
- Question about the ground removal on SemanticKITTI and KITTIdet. HOT 2
- How long will this model take to finish one task? HOT 1
- Questions about correct order and paths when running the full pipeline HOT 5
- 您好这个代码能对大场景的点云适用吗,比如说S3DIS,多伦多3D HOT 2
- geometric constraints HOT 2
- demo code for visualizing the prediction on 3D object detection and outdoor segmentation tasks HOT 2
- request for checkpoints on SemanticKITTI
- SemanticKITTI Training HOT 2
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 ogc.