DLR-RM/NeMO
Official Repository for "Finding NeMO: A Geometry-Aware Representation of Template Views for Few-Shot Perception"
This project helps robotics engineers and computer vision scientists quickly teach a system to recognize new objects from just a few images. You provide a small set of pictures of an object, and it outputs a 'Neural Memory Object' that allows the system to identify, segment, and determine the exact 3D position and orientation of that object in new images or videos.
Use this if you need to rapidly train a computer vision system to recognize specific objects and their 3D poses without needing a large dataset of example images.
Not ideal if you are looking for a general-purpose object detection system that doesn't require specific object identification or 3D pose estimation from limited examples.
Stars
15
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 17, 2026
Commits (30d)
0
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