The current composition strategy may have limitations when handling more complex scenes and object interactions due to the potential challenges in capturing intricate relationships and dependencies between objects. Some potential limitations include:
Limited Expressiveness: The current strategy may struggle to capture nuanced interactions and dependencies between objects in highly complex scenes, leading to information loss or oversimplification of the scene structure.
Scalability: As scenes become more complex with a larger number of objects and interactions, the current composition strategy may face scalability issues in effectively modeling and composing the diverse set of object representations.
To further improve the composition strategy for handling more complex scenes and object interactions, several enhancements can be considered:
Hierarchical Composition: Introducing a hierarchical composition approach where objects are composed at different levels of abstraction can help capture multi-scale relationships and dependencies in the scene.
Attention Mechanisms: Leveraging more sophisticated attention mechanisms that can model long-range dependencies and interactions between objects can enhance the model's ability to compose object representations in complex scenes.
Dynamic Composition: Implementing a dynamic composition strategy that adapts to the context and content of the scene can improve the flexibility and adaptability of the model in capturing diverse object interactions.
By addressing these limitations and incorporating these enhancements, the composition strategy can be further improved to handle more complex scenes and object interactions effectively.