TUI-NICR / ESANet
ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Why this job: works in the areas we cover, but does not say which job it does
What it does
EMSANet [IJCNN 2022] and EMSAFormer [IJCNN 2023] – multi-task approach, better results for semantic segmentation, and cleaner and more extendable code base • DVEFormer [IROS 2025] – efficient prediction of dense visual embeddings instead of fixed semantic classes for enhanced scene understanding • SemanticNDT [ICRA 2022] and PanopticNDT [IROS 2023] – downstream application for semantic/panoptic mapping.
Get started
git clone https://github.com/TUI-NICR/ESANet.git
cd /path/to/this/repository - Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 282
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- release_2025_12_18
- Released 10 months ago
- Built with
- Python
- 90% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 45% closed
- 33 still open
- Pull requests
- 2 merged
- 0 waiting
- Releases
- 2
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 90%
- Shell 10%
Topics
- semantic-segmentation
- rgbd
- deep-learning
- deep-neural-networks
- machine-learning
- mobile-robotics
- real-time
- pytorch
Project record
- JobOther AI tools
- StatusListed
- Commits33
- Forks54
- Watching7
- Stars in 28 days+1
- CreatedOct 31, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026