What is slot attention and how does it enable object-centric learning?

Slot attention learns object representations by iteratively grouping features into latent slots.

Slot Attention introduces a set of learnable slots that compete to represent parts of an input image. Through iterative attention, each slot specializes in capturing one object or entity. This enables unsupervised object discovery, where the model learns to segment scenes without explicit labels.