Compositional Scene Representation Learning via Reconstruction: A Survey

Understand

Visual scenes are composed of visual concepts and have the property of combinatorial explosion.

• An important reason for humans to efficiently learn from diverse visual scenes is the ability of compositional perception, and it is desirable for artificial intelligence to have similar abilities.
• Compositional scene representation learning is a task that enables such abilities.
• In recent years, various methods have been proposed to apply deep neural networks, which have been proven to be advantageous in representation learning, to learn compositional scene representations via reconstruction, advancing this research direction into the deep learning era.