Unsupervised Segmentation in Real-World Images via Spelke Object Inference

Introduces fully-unsupervised method for segmenting objects in an image.
Method inspired by Spelke objects from cognitive science.
From the NeuroAI lab at Stanford lead by Dr. Yamins.