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Open Vocabulary Affordance Detection in 3D Point Clouds · Fsoft-AIC

Research code for open-vocabulary affordance detection in 3D point clouds.

affordance-learningrobotics3d-point-cloudscomputer-vision-aiiros2023
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Open Vocabulary Affordance Detection in 3D Point Clouds · Fsoft-AIC resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

Research code for open-vocabulary affordance detection in 3D point clouds.

Publisher summary: “[IROS 2023] Open-Vocabulary Affordance Detection in 3d Point Clouds”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
Fsoft-AIC
Primary language
Python
Repository code license
MIT
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2024-09-04

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • Open-Vocabulary Affordance Detection in 3D Point Clouds
  • 1. Getting Started
  • 2. Data
  • 3. Training
  • 4. Open-Vocabulary Testing
  • 5. Citation

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