SynthSeg-Agents: Multi-Agent Synthetic Data Generation for Zero-Shot Weakly Supervised Semantic Segmentation

This article introduces SynthSeg-Agents, a novel approach for semantic segmentation. The use of multi-agent synthetic data generation for zero-shot and weakly supervised learning is a significant contribution. The focus on synthetic data generation is a key aspect of the research.