Numenta Research Intern Abhiram Iyer presents the paper “Learning Physical Graph Representations from Visual Scenes” by D. Bear et al.
He first gives some context and an overview of physical scene graphs. He then explains the pipeline of how these graphs are built in the deep learning system, starting with 1. feature extraction 2. graph pooling 3. graph vectorization, and 4. graph construction. Lastly, he goes through the results from the paper, the caveats, and his main takeaways.
Paper: https://proceedings.neurips.cc/paper/2020/file/4324e8d0d37b110ee1a4f1633ac52df5-Paper.pdf