kimhc6028/relational-networks
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
This tool helps researchers in artificial intelligence and machine learning evaluate how well their models can understand relationships between objects in images. It takes a dataset of simplified images containing various shapes and colors, along with corresponding questions about those objects and their interactions. The output indicates how accurately the model answers both simple object-recognition questions and complex relational questions, helping to benchmark its 'reasoning' capabilities.
818 stars. No commits in the last 6 months.
Use this if you are developing or evaluating AI models and need a benchmark to test their ability to understand spatial and property relationships between multiple objects in a visual scene.
Not ideal if you are looking for a tool to process real-world complex images or to perform general image classification or object detection tasks.
Stars
818
Forks
160
Language
Python
License
BSD-3-Clause
Category
Last pushed
Dec 06, 2022
Commits (30d)
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