DeepGlint-AI/MLCD-Seg-7B

RefCOCO Segmentation Evaluation:

Dataset	Split	MLCD-seg-7B	EVF-SAM	GLaMM	VisionLLM v2	LISA
RefCOCO	val	83.6	82.4	79.5	79.2	74.9
RefCOCO	testA	85.3	84.2	83.2	82.3	79.1
RefCOCO	testB	81.5	80.2	76.9	77.0	72.3
RefCOCO+	val	79.4	76.5	72.6	68.9	65.1
RefCOCO+	testA	82.9	80.0	78.7	75.8	70.8
RefCOCO+	testB	75.6	71.9	64.6	61.8	58.1
RefCOCOg	val	79.7	78.2	74.2	73.3	67.9
RefCOCOg	test	80.5	78.3	74.9	74.8	70.6

Evaluation

Install the evaluation tool and execute the evaluation script:

git clone https://github.com/deepglint/unicom/tree/main
cd downstream
bash ./eval/scripts/eval_refcoco.sh

Citations

@misc{mlcdseg_wukun,
  author = {Wu, Kun and Xie, Yin and Zhou, Xinyu and An, Xiang, and Deng, Jiankang},
  title = {MLCD-seg-7B},
  year = {2024},
  url = {https://github.com/deepglint/unicom/tree/main/downstream},
}