Visual Grounding on RefCOCO (TestA)
96.5AccuracyVanilla
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| VanillaBackbone Model=DeepSeek-VL2 Small-16B, Average Tokens=100%2026.02 | 96.5 | — | — | — | — | — | — | — | — | — | — | |
| IVC-PruneBackbone Model=DeepSeek-VL2 Small-16B, Average Tokens=52%2026.02 | 96 | — | — | — | — | — | — | — | — | — | — | |
| PDropBackbone Model=DeepSeek-VL2 Small-16B, Average Tokens=57%2026.02 | 95.7 | — | — | — | — | — | — | — | — | — | — | |
| InternVL2.5Number of Parameters=78B2025.02 | 95.6 | — | — | — | — | — | — | — | — | — | — | |
| InternVL-3-78BBackbone=InternVL-3-78B2026.01 | 95.4 | — | — | — | — | — | — | — | — | — | — | |
| Florence-2Backbone=DaViT-B2026.01 | 95.3 | — | — | — | — | — | — | — | — | — | — | |
| Florence-2-L#PT=126M, #FT=127K2025.03 | 95.3 | — | — | — | — | — | — | — | — | — | — | |
| Youtu-VLModel Category=General-Purpose VLM, Model Parameters=4B, Instruct Version=true, Task-specific fine-tuning=false2026.01 | 95.2 | — | — | — | — | — | — | — | — | — | — | |
| Youtu-VLModel Size=4B2026.01 | 95.2 | — | — | — | — | — | — | — | — | — | — | |
| InternVL-3-8B + EGMBackbone=InternVL-3-8B, Enhancement=EGM2026.01 | 95.2 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-4B-Thinking + EGMBackbone=Qwen3-VL-4B, Enhancement=EGM2026.01 | 95.1 | — | — | — | — | — | — | — | — | — | — | |
| W-FastVBackbone Model=DeepSeek-VL2 Small-16B, Average Tokens=54%2026.02 | 95 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-8B-Thinking + EGMBackbone=Qwen3-VL-8B, Enhancement=EGM2026.01 | 95 | — | — | — | — | — | — | — | — | — | — | |
| UFOBackbone=InternVL2.5-8B2026.01 | 94.8 | — | — | — | — | — | — | — | — | — | — | |
| Florence-2-B#PT=126M, #FT=127K2025.03 | 94.8 | — | — | — | — | — | — | — | — | — | — | |
| CogVLM-G2026.05 | 94.8 | — | — | — | — | — | — | — | — | — | — | |
| CogVLM-Grounding-17BModel Size=17B, Zero-shot=false2024.02 | 94.75 | — | — | — | — | — | — | — | — | — | — | |
| VanillaBackbone Model=InternVL 2.5 8B, Average Tokens=100%2026.02 | 94.7 | — | — | — | — | — | — | — | — | — | — | |
| Ferretv2#PT=1.1M, #FT=127K2025.03 | 94.7 | — | — | — | — | — | — | — | — | — | — | |
| InternVL3.5-8B2026.05 | 94.7 | — | — | — | — | — | — | — | — | — | — | |
| InfMLLM-7BLLM=Vicuna-7B2023.11 | 94.62 | — | — | — | — | — | — | — | — | — | — | |
| Qwen2.5-VLNumber of Parameters=72B2025.02 | 94.6 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-235B-A22B-InstructBackbone=Qwen3-VL-235B-A22B, Variant=Instruct2026.01 | 94.6 | — | — | — | — | — | — | — | — | — | — | |
| InternVL-3-8BBackbone=InternVL-3-8B2026.01 | 94.6 | — | — | — | — | — | — | — | — | — | — | |
| InternVL-2.5-8B2026.04 | 94.5 | — | — | — | — | — | — | — | — | — | — | |
| Phi3V-dist#PT=0, #FT=127K2025.03 | 94.5 | — | — | — | — | — | — | — | — | — | — | |
| GR3D-8B2026.05 | 94.5 | — | — | — | — | — | — | — | — | — | — | |
| FastVBackbone Model=DeepSeek-VL2 Small-16B, Average Tokens=54%2026.02 | 94.4 | — | — | — | — | — | — | — | — | — | — | |
| UNINEXTModel Category=Specialist2024.03 | 94.33 | — | — | — | — | — | — | — | — | — | — | |
| InternVL-3.5Model Category=General-Purpose VLM, Model Parameters=4B, Task-specific fine-tuning=false2026.01 | 94.3 | — | — | — | — | — | — | — | — | — | — | |
| UFOModel Category=Vision-Centric VLM, Model Parameters=8B, Extra task-specific tokens (†)=true, Task-specific fine-tuning=false2026.01 | 94.3 | — | — | — | — | — | — | — | — | — | — | |
| Classic Specialist (VLM)Model Category=Classic Specialist, Task-specific fine-tuning=true2026.01 | 94.3 | — | — | — | — | — | — | — | — | — | — | |
| InternVL-3.5Model Size=4B2026.01 | 94.3 | — | — | — | — | — | — | — | — | — | — | |
| UNINEXT#PT=600K, #FT=127K2025.03 | 94.3 | — | — | — | — | — | — | — | — | — | — | |
| UNINEXT-H2026.05 | 94.3 | — | — | — | — | — | — | — | — | — | — | |
| IVC-PruneBackbone Model=InternVL 2.5 8B, Average Tokens=50%2026.02 | 94.2 | — | — | — | — | — | — | — | — | — | — | |
| Qwen2.5-VL-7B AIFAIF=true2026.04 | 94.2 | — | — | — | — | — | — | — | — | — | — | |
| ONE-PEACE2026.05 | 94.2 | — | — | — | — | — | — | — | — | — | — | |
| ONE-PEACE2023.05 | 94.18 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-235B-A22B-ThinkingBackbone=Qwen3-VL-235B-A22B, Variant=Thinking2026.01 | 94.1 | — | — | — | — | — | — | — | — | — | — | |
| OFA2023.05 | 94.03 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-2B-Thinking + EGMBackbone=Qwen3-VL-2B, Enhancement=EGM2026.01 | 94 | — | — | — | — | — | — | — | — | — | — | |
| InternVL-3-2B + EGMBackbone=InternVL-3-2B, Enhancement=EGM2026.01 | 94 | — | — | — | — | — | — | — | — | — | — | |
| Qwen2-VL-7B2026.05 | 93.6 | — | — | — | — | — | — | — | — | — | — | |
| Phi3V-sft#PT=0, #FT=127K2025.03 | 93.5 | — | — | — | — | — | — | — | — | — | — | |
| GriffonBackbone=LLama2-13B2026.01 | 93.4 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-8B-InstructBackbone=Qwen3-VL-8B, Variant=Instruct2026.01 | 93.3 | — | — | — | — | — | — | — | — | — | — | |
| Grounding DINO2025.02 | 93.2 | — | — | — | — | — | — | — | — | — | — | |
| Grounding DINOBackbone=Swin-L2026.01 | 93.2 | — | — | — | — | — | — | — | — | — | — | |
| InternVL-3-1B + EGMBackbone=InternVL-3-1B, Enhancement=EGM2026.01 | 93.2 | — | — | — | — | — | — | — | — | — | — | |
| Grounding-DINO-L2026.04 | 93.2 | — | — | — | — | — | — | — | — | — | — | |
| Phi3V-vocab#PT=0, #FT=127K2025.03 | 93.2 | — | — | — | — | — | — | — | — | — | — | |
| Grounding-DINO-L2026.05 | 93.2 | — | — | — | — | — | — | — | — | — | — | |
| Grounding-DINO2023.05 | 93.19 | — | — | — | — | — | — | — | — | — | — | |
| G-DINO-LModel Category=Specialist2024.03 | 93.19 | — | — | — | — | — | — | — | — | — | — | |
| VisionLLM v2Model Category=Vision-Centric VLM, Model Parameters=7B, Task-specific decoders (*)=true, Task-specific fine-tuning=false2026.01 | 93.1 | — | — | — | — | — | — | — | — | — | — | |
| Classic Specialist (Non-VLM)Model Category=Classic Specialist, Task-specific fine-tuning=true2026.01 | 93.1 | — | — | — | — | — | — | — | — | — | — | |
| TextHawk22026.05 | 93 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-8B-ThinkingBackbone=Qwen3-VL-8B, Variant=Thinking2026.01 | 92.9 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-4B-InstructBackbone=Qwen3-VL-4B, Variant=Instruct2026.01 | 92.7 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-4B-ThinkingBackbone=Qwen3-VL-4B, Variant=Thinking2026.01 | 92.7 | — | — | — | — | — | — | — | — | — | — | |
| InternVL-3-2BBackbone=InternVL-3-2B2026.01 | 92.6 | — | — | — | — | — | — | — | — | — | — | |
| InternVL3-2B2026.05 | 92.6 | — | — | — | — | — | — | — | — | — | — | |
| FIBER2023.05 | 92.59 | — | — | — | — | — | — | — | — | — | — | |
| VanillaBackbone=QWEN-2.5-VL 7B, Average Tokens=100%2026.02 | 92.56 | — | — | — | — | — | — | — | — | — | — | |
| Qwen2.5-VLNumber of Parameters=7B2025.02 | 92.5 | — | — | — | — | — | — | — | — | — | — | |
| Qwen2.5-VL-7B2026.04 | 92.5 | — | — | — | — | — | — | — | — | — | — | |
| AutoToolSize=7B2026.05 | 92.5 | — | — | — | — | — | — | — | — | — | — | |
| Qwen2.5-VL-7B2026.05 | 92.5 | — | — | — | — | — | — | — | — | — | — | |
| Ferret#PT=1.1M, #FT=127K2025.03 | 92.4 | — | — | — | — | — | — | — | — | — | — | |
| QWen-VL-7BLLM=Qwen-7B2023.11 | 92.26 | — | — | — | — | — | — | — | — | — | — | |
| Qwen-VL-7BModel Size=7B, Zero-shot=false2024.02 | 92.26 | — | — | — | — | — | — | — | — | — | — | |
| VanillaBackbone Model=Qwen2.5-VL 7B, Average Tokens=100%2026.02 | 92.2 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VLModel Category=General-Purpose VLM, Model Parameters=4B, Instruct Version=true, Task-specific fine-tuning=false2026.01 | 92.2 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VLModel Size=4B2026.01 | 92.2 | — | — | — | — | — | — | — | — | — | — | |
| Lumen-7BModel Category=Generalist2024.03 | 92.06 | — | — | — | — | — | — | — | — | — | — | |
| IVC-PruneBackbone Model=Qwen2.5-VL 7B, Average Tokens=50%2026.02 | 92 | — | — | — | — | — | — | — | — | — | — | |
| NuwaBackbone=QWEN-2.5-VL 7B, Average Tokens=75%2026.02 | 91.76 | — | — | — | — | — | — | — | — | — | — | |
| Qwen2.5-VLNumber of Parameters=3B2025.02 | 91.7 | — | — | — | — | — | — | — | — | — | — | |
| Qwen2.5-VL-3B2026.05 | 91.7 | — | — | — | — | — | — | — | — | — | — | |
| MiniGPT-v2-7BLLM=LLaMA2-7B2023.11 | 91.65 | — | — | — | — | — | — | — | — | — | — | |
| InternVL3.5-2B2026.05 | 91.6 | — | — | — | — | — | — | — | — | — | — | |
| VistaLLM-7BModel Size=7B, Zero-shot=false2024.02 | 91.5 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-2B-ThinkingBackbone=Qwen3-VL-2B, Variant=Thinking2026.01 | 91.4 | — | — | — | — | — | — | — | — | — | — | |
| Ferret-7BModel Size=7B, Zero-shot=false2024.02 | 91.35 | — | — | — | — | — | — | — | — | — | — | |
| VisionLLM v2Backbone=Swin-T2026.01 | 91.2 | — | — | — | — | — | — | — | — | — | — | |
| Shikra-13BLLM=Vicuna-13B2023.11 | 91.11 | — | — | — | — | — | — | — | — | — | — | |
| Shikra2026.02 | 91.1 | — | — | — | — | — | — | — | — | — | — | |
| InternVL2-8B2026.04 | 91.1 | — | — | — | — | — | — | — | — | — | — | |
| CoLLaVO-7BModel Size=7B, Zero-shot=true2024.02 | 91.08 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-2B-InstructBackbone=Qwen3-VL-2B, Variant=Instruct2026.01 | 90.8 | — | — | — | — | — | — | — | — | — | — | |
| Shikra-7BLLM=Vicuna-7B2023.11 | 90.61 | — | — | — | — | — | — | — | — | — | — | |
| Shikra-7BModel Category=Generalist2024.03 | 90.61 | — | — | — | — | — | — | — | — | — | — | |
| Shikra-7BModel Size=7B, Zero-shot=false2024.02 | 90.61 | — | — | — | — | — | — | — | — | — | — | |
| Shikra-7B2026.04 | 90.6 | — | — | — | — | — | — | — | — | — | — | |
| Shikra-7B2026.05 | 90.6 | — | — | — | — | — | — | — | — | — | — | |
| DeepEyesSize=7B2026.05 | 90.5 | — | — | — | — | — | — | — | — | — | — | |
| UNICORN2023.05 | 90.42 | — | — | — | — | — | — | — | — | — | — | |
| MDETRBackbone=ENB32026.01 | 90.4 | — | — | — | — | — | — | — | — | — | — | |
| VScanBackbone Model=Qwen2.5-VL 7B, Average Tokens=50%2026.02 | 90.2 | — | — | — | — | — | — | — | — | — | — |