Exploring the effectiveness of object-centric representations in visual question answering: Comparative insights with foundation models
Object-centric (OC) representations, which represent the state of a visual scene by modeling
it as a composition of objects, have the potential to be used in various downstream tasks to …
it as a composition of objects, have the potential to be used in various downstream tasks to …
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
Learning modular object-centric representations is crucial for systematic generalization.
Existing methods show promising object-binding capabilities empirically, but theoretical …
Existing methods show promising object-binding capabilities empirically, but theoretical …
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
Neuro-symbolic neural networks have been extensively studied to integrate symbolic
operations with neural networks, thereby improving systematic generalization. Specifically …
operations with neural networks, thereby improving systematic generalization. Specifically …