Keskeiset käsitteet
RGPT enhances region-level captioning and understanding by refining visual features and integrating task-guided instruction prompts.
Tiivistelmä
RGPT introduces a novel framework for complex region-level captioning and understanding, addressing the limitations of existing vision language models. By enhancing spatial awareness and integrating task-guided instruction prompts, RGPT improves performance on region-specific tasks. The automated region caption data generation pipeline enriches training sets with detailed captions, leading to significant enhancements in performance across various region-level tasks.
Tilastot
RGPT achieves a mAP of 70.0% and an accuracy of 80.86% on object classification tasks.
The annotated captions in the dataset average 87.14 words per region, providing rich contextual information.
Our approach significantly outperforms recent popular image-level VLMs in object hallucination benchmarks.
Lainaukset
"RGPT enhances the spatial awareness of regional representation with simple yet effective modifications to existing visual encoders."
"We propose RGPT, a general framework designed to facilitate complex region-level captioning and understanding."
"Our contributions are threefold: proposing RGPT, designing task-guided instruction prompts, and presenting a novel data reformation approach."