Adaptive Visual Scene Understanding: Incremental Scene Graph Generation

arXiv:2310.01636v3 Announce Type: replace
Abstract: Scene graph generation (SGG) involves analyzing images to extract meaningful information about objects and their relationships. Given the dynamic nature of the visual world, it becomes crucial for AI systems to detect new objects and establish their new relationships with existing objects. To address the lack of continual learning methodologies in SGG, we introduce the comprehensive Continual ScenE Graph Generation (CSEGG) dataset along with 3 learning scenarios and 8 evaluation metrics. Our research investigates the …

abstract ai systems arxiv cs.cv dynamic extract graph images incremental information nature objects relationships systems type understanding visual world