Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization
arXiv:2604.11042v1 Announce Type: new
Abstract: Fine-tuning object detection (OD) models on combined datasets assumes annotation compatibility, yet datasets often encode conflicting spatial definitions for semantically equivalent categories. We propos…