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Benchmarks
Spatial VQA on CV-Bench-2D Relation (Level 2)
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96.9
Accuracy
RoboRefer-8B-SFT
62.3616
71.3283
80.295
89.2617
Mar 26, 2026
Accuracy
Updated 22d ago
Evaluation Results
Method
Method
Links
Accuracy
RoboRefer-8B-SFT
Input=RGB-D
2026.03
96.9
HiSpatial-3B
Input=RGB-XYZ
2026.03
95.69
Qwen-3-VL-30B-A3B
Input=RGB
2026.03
95.38
HiSpatial-3B-RGB
Input=RGB
2026.03
95.08
Gemini-2.5-Pro
Input=RGB
2026.03
93.54
Qwen-3-VL-8B
Input=RGB
2026.03
92.92
SpatialRGPT-8B
Input=RGB-D
2026.03
91
InternVL3.5-14B
Input=RGB
2026.03
88.15
InternVL3.5-8B
Input=RGB
2026.03
88
GPT-4o
Input=RGB
2026.03
84.62
Claude-3.7-Sonnet
Input=RGB
2026.03
74.15
PaliGemma2-3B
Input=RGB
2026.03
72
SpatialBot-3B
Input=RGB-D
2026.03
69.38
SpaceLLaVA-13B
Input=RGB
2026.03
63.69
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