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Referring Expression Grounding on RefCOCOg (test)

90AccuracyFerret-V2-13B
35.50449.65263.877.948Mar 9, 2021Nov 21, 2021Aug 5, 2022Apr 19, 2023Jan 1, 2024Sep 14, 2024May 29, 2025

Evaluation results

MethodLinks
Ferret-V2-13BModel Size Category=Larger (>13B)2024.0990———
MM1.5-30BModel Size Category=Larger (>13B)2024.0990———
Ferret-V2-7BModel Size Category=7B2024.0989.3———
MM1.5-7BModel Size Category=7B2024.0987.1———
G-DINO2025.0587———
MM1.5-3BModel Size Category=3B2024.0986.4———
MM1.5-3B-MoEModel Size Category=3B, Architecture=MoE2024.0986.4———
Qwen-VL-7BModel Size Category=7B2024.0986.3———
Ferret-13BModel Size Category=Larger (>13B)2024.0986.3———
QwenVL-7B2025.0585.5———
Argus-X3-8B2025.0585.2———
Ferret-7BModel Size Category=7B2024.0984.8———
Ferret-7B2025.0584.8———
MM1.5-1B-MoEModel Size Category=1B, Architecture=MoE2024.0984.7———
MiniGPT-7B2025.0584.7———
MiniGPT-v2-7BModel Size Category=7B2024.0984.3———
MM1.5-1BModel Size Category=1B2024.0982.8———
InternVL2-8B2025.0582.7———
Shikra-7B2025.0582.2———
MDETR2025.0580.9———
UniTAB2025.0580———
SPHINX-TinyModel Size Category=1B2024.0978.9———
InternVL2Model Size Category=3B2024.0978.3———
VILLA2025.0576.7———
Iterative ShrinkingProposal-free=true, Visual Extractor=ResNet-1012021.0370.0568.63——
LLaVA-OneVision-7BModel Size Category=7B2024.0970———
UNITER2025.0568.7———
TransVG2025.0567.7———
OFA-L2025.0567.6———
MAttNetProposal-free=false, Visual Extractor=ResNet-1012021.0367.0168.33——
MAttNet2025.0567———
RCCFProposal-free=true, Visual Extractor=DLA-342021.0365.7367.3——
DGAProposal-free=false, Visual Extractor=VGG-162021.0363.2865.26——
MCNProposal-free=true, Visual Extractor=VGG-162021.0362.2965.69——
SLRProposal-free=false, Visual Extractor=ResNet-1012021.0359.6361.25——
FAOAVGProposal-free=true, Visual Extractor=DarkNet-532021.0357.4561.79——
Phi-3-Vision-4BModel Size Category=3B2024.0937.6———
LyricsShot=0-shot2023.12——88.26—
LyricsShot=1-shot2023.12——91.39—
LyricsShot=4-shot2023.12——91.36—
Qwen-VLShot=0-shot2023.12——86.32—
Qwen-VLShot=1-shot2023.12——87.13—
Qwen-VLShot=4-shot2023.12——87.88—
Qwen2.5-VL-3BBackbone=Qwen2.5-VL-3B2026.06———83.1
SequentialBackbone=Qwen2.5-VL-3B2026.06———84
ShikraShot=0-shot2023.12——83.16—
ShikraShot=1-shot2023.12——84.29—
ShikraShot=4-shot2023.12——85.02—
Visual Para-Thinker (3B)Backbone=Qwen2.5-VL-3B2026.06———86.9
Visual Para-Thinker++ (3B)Backbone=Qwen2.5-VL-3B2026.06———89.8