Comments (2)
unless the motion supervision comes from optical flow. However, it seems not.
from discovery_obj_move.
Hi Alexanderisgod,
Thanks for your interest. The main motivation of this paper is indeed to guide the slot masks with motion cues (motion segments).
In both our paper and the most recent update, we use both ground-truth segmentation masks and estimated motion segments (which are conducted on the self-supervised flow and a pre-trained model on the toy flyingthings dataset).
We agree that even for the lightweight estimated motion, we still need some minimal supervision from the toy dataset, but that model did not get access to any ground truth of the target dataset. On the KITTI dataset, we did not use any ground-truth segments and can achieve a reasonable result.
Thanks a lot for pointing out the shortcoming of our model and we are actually aiming to further reduce the supervision until achieving the full self-supervised object discovery results.
Thanks,
Zhipeng
from discovery_obj_move.
Related Issues (11)
- The details about loss? HOT 2
- Missing additional data? HOT 3
- Training Time & Pretrained model HOT 2
- Faster segmentation processing in dataloader HOT 1
- Model parameters for CATER dataset
- Evaluation code HOT 1
- Truncated archives (TRI-PD dataset) HOT 8
- About pretrained models? HOT 1
- How to obtain the instance-level motion segmentation mask for each moving object? HOT 6
- TRI-PD splits HOT 4
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 discovery_obj_move.