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Found 2 papers, 1 papers with code
Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric Learning
The binding problem in artificial neural networks is actively explored with the goal of achieving human-level recognition skills through the comprehension of the world in terms of symbol-like entities.
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning
Object-centric learning (OCL) aspires general and compositional understanding of scenes by representing a scene as a collection of object-centric representations.
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