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Multimodal Embedding on MMEB (test)

56Precision@1 (Classification)OpenCLIP
-2.0132813.0478628.10943.17014Dec 19, 2024

Evaluation results

MethodLinks
OpenCLIPtuning=supervised fine-tuning2024.125621.955.464.147.250.543.1
MMRet-MLLMBackbone=LLaVA-1.6, tuning=supervised fine-tuning2024.125657.469.983.664.16859.1
CLIPtuning=supervised fine-tuning2024.1255.219.753.262.245.447.642.8
VLM2VecBackbone=Phi-3.5-V, tuning=supervised fine-tuning2024.1254.854.962.379.560.166.552
VLM2VecBackbone=LLaVA-1.6, tuning=supervised fine-tuning2024.1254.750.356.264556147.5
OpenCLIPevaluation protocol=zero-shot2024.120.4780.1090.5230.5330.397——
MMRet-MLLMevaluation protocol=zero-shot, backbone=LLaVA-1.6, trained_on=MegaPairs2024.120.4720.1840.5650.6220.44——
CLIPevaluation protocol=zero-shot2024.120.4280.0910.530.5180.378——
UniIRevaluation protocol=zero-shot, trained_on=M-BEIR2024.120.4210.150.6010.6220.428——
SigLIPevaluation protocol=zero-shot2024.120.4030.0840.3160.5950.348——
MagicLensevaluation protocol=zero-shot2024.120.3880.0830.3540.260.278——
BLIP2evaluation protocol=zero-shot2024.120.270.0420.3390.470.252——
E5-Vevaluation protocol=zero-shot, backbone=LLaVA-1.62024.120.2180.0490.1150.190.133——