List your company

Vision-Language Reasoning on ScanQA ScanNet scenes (test)

43.3BLEU-1DINOv3 + SpatialBoost
36.64438.37240.141.828Mar 23, 2026

Evaluation results

MethodLinks
DINOv3 + SpatialBoostBase Model=DINOv3, Evaluation=Unified probing, SpatialBoost=true2026.0343.3
SigLIPv2 + SpatialBoostBase Model=SigLIPv2, Evaluation=Unified probing, SpatialBoost=true2026.0340.8
DINOv3Evaluation=Unified probing2026.0340.6
PE-CoreEncoder Type=Vision-Language trained encoder, Evaluation=Unified probing2026.0340.5
DINOv2 + SpatialBoostBase Model=DINOv2, Evaluation=Unified probing, SpatialBoost=true2026.0340.3
dino.txtEncoder Type=Vision-Language trained encoder, Evaluation=Unified probing2026.0339.8
DINOv2Evaluation=Unified probing2026.0339.5
OpenCLIP + SpatialBoostBase Model=OpenCLIP, Evaluation=Unified probing, SpatialBoost=true2026.0339.2
SigLIPv2Evaluation=Unified probing2026.0338.1
V-JEPAv2Encoder Type=Vision-only trained encoder, Evaluation=Unified probing2026.0337.7
AIMv2Encoder Type=Vision-Language trained encoder, Evaluation=Unified probing2026.0337.4
TIPSEncoder Type=Vision-Language trained encoder, Evaluation=Unified probing2026.0337.4
OpenCLIPEvaluation=Unified probing2026.0336.9