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Referring Expression Comprehension on KVG-Bench

81.33Accuracy (Air, Seen Categories)Human + search
17.952434.406250.8667.3138Mar 17, 2025

Evaluation results

MethodLinks
Human + searchType=Human Evaluation2025.0381.3385.566874.1786.6778.0378.897474.1784.4486.6779.6378.83
Qwen3-VL-32BType=Large-Scale MLLMs, Scale=32B2025.0372.3768.2763.4548.2177.1463.3887.248.8951.7966.2981.9366.1864.52
KARLBase Model=Qwen3-VL-8B, Stage-1=CoT-SFT, Stage-2=Reinforcement Learning2025.0371.0583.6570.3445.0287.8667.385.650.3769.6480.967.4770.0468.41
Qwen2-VL-72BType=Large-Scale MLLMs, Scale=72B2025.0363.1675.9659.3140.2477.1459.3480.842.9659.8265.1766.2762.3260.55
InternVL2-76BType=Large-Scale MLLMs, Scale=76B2025.0362.574.046041.0476.4359.2278.451.1156.2543.8255.4257.958.68
Qwen3-VL-8BType=7B-Scale MLLMs, Scale=8B2025.0361.8468.2755.1740.247556.9473.644.4442.8665.1766.2757.5457.19
HumanType=Human Evaluation2025.0359.3366.6750.8444.1765.3357.2748.3345.3351.6764.456855.5656.41
UniVG-R1Type=Reasoning MLLMs2025.0357.2474.0452.4135.0678.5755.373.64055.3660.6767.4658.4656.59
DeepSeek-VL2Type=7B-Scale MLLMs2025.0351.3260.5753.129.0863.5747.9862.435.5650.8944.9439.7647.0647.6
Qwen2-VL-7BType=7B-Scale MLLMs, Scale=7B2025.0348.0374.0451.333.0765.7150.387633.3354.4657.359.0455.3352.4
CogVLM-GType=7B-Scale MLLMs2025.0346.7164.4249.6634.2663.5748.6179.231.1154.4656.1866.2756.4351.8
DINO-XType=Specialist Grounding Models2025.0343.4249.0442.7628.2941.4338.8962.435.5648.2131.4649.445.7741.69
YOLO-WorldType=Specialist Grounding Models2025.0341.4528.858.2814.7430.7123.3650.42.2224.111.123.6117.8321.11
G-DINO-1.6-ProType=Specialist Grounding Models2025.0339.4741.3548.9723.1124.2933.59444039.2932.5827.7137.6835.25
Visual-RFTType=Reasoning MLLMs2025.0336.1851.9232.4120.747.8634.7252.821.4831.2546.0744.5838.2436.15
Perception-R1Type=Reasoning MLLMs2025.0323.0332.6914.4812.3537.1421.8441.611.8526.7916.8528.9225.1823.2
Shikra-7BType=7B-Scale MLLMs, Scale=7B2025.0320.3925.9615.1716.3328.5720.3351.219.262516.8522.8927.9423.43