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View Code? Open in Web Editor NEW[ICRA 2021] SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation
Home Page: https://sscnav.cs.columbia.edu/
License: MIT License
[ICRA 2021] SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation
Home Page: https://sscnav.cs.columbia.edu/
License: MIT License
hello,could you share the dataset about "../buffer/“ directory?I can‘t find it in your download link,thank you
Hello, does your experiment compare with SemExp(Object Goal Navigation using Goal-Oriented Semantic Exploration)?
Hi, thank you for providing the nice implementation of your approach.
I ran the test_agent.py
for testing the Q agent with ACNet semantic segmentation. There are however certain issues which I am facing:
test_agent.py
throws error in line 242
when drawing circle because agent.action
is a tuple of Tensor. I believe this is related to the action_picker
function in SCNav_agent
where greedy action gives a tuple of Tensor but the random action returns a tuple of int
.int
before passing to draw the circle. Though for the val.json
- I get an error Math::Quaternion::fromMatrix(): the matrix is not orthogonal:
after the 13/500
step in the first episode(zsNo4HB9uLZ
). Do you have any leads for what might be wrong?Thank you for your help.
Thanks for your excellent work. I'm curious how can I get visualizations of semantic maps and trajectories? Just like the qualitative analysis in the paper. Looking forward to your reply, thank you very much.
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