Lightweight Vision Encoders and GCN-Based Fusion in COCO Captioning Performance

This report synthesises findings from 15 peer-reviewed papers addressing the following research question: What is the impact of replacing heavy vision encoders with lightweight architectures on COCO Captioning performance when integrated with GCN-based fusion layers. 11 claims were extracted from source literature; 11 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.2/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: What is the impact of replacing heavy vision encoders with lightweight architectures on COCO Captioning performance when integrated with GCN-based fusion layers?

Autonomous literature synthesis. Automated review score: 8.2/10. Full text and citation available at Assignee Research.