List your company

Image-Text Matching on Winoground

89.5Text Agreement ScoreMTurk Human
19.8237.915674.09Mar 25, 2023May 11, 2023Jun 28, 2023Aug 15, 2023Oct 1, 2023Nov 18, 2023Jan 5, 2024

Evaluation results

MethodLinks
MTurk Human2024.0189.588.585.5—
MMICL + CoCoTPrompting strategy=CoCoT2024.0164.2552.550.75—
GPT-4V + CoCoTPrompting strategy=CoCoT2024.0158.549.544.5—
OPENFLAMINGO + CoCoTPrompting strategy=CoCoT2024.0158.2555.2541.5—
GPT-4VPrompting strategy=Standard2024.0154.542.537.75—
FIBER + EQSIMSetting=Fine-tuning with EQSIM regularization2023.0351.4931.4927.5—
FIBERSetting=Standard fine-tuning (FT) on Flickr30K2023.0351.2426.4923—
MMICL + CCoTPrompting strategy=CCoT2024.01514847.5—
OPENFLAMINGO + DDCoTPrompting strategy=DDCoT2024.0147.547.2539—
MMICL + DDCoTPrompting strategy=DDCoT2024.0146.754536.75—
MMICLPrompting strategy=Standard2024.0146.540.7537.75—
FIBERSetting=Direct evaluation after pre-training2023.0346.2525.7522.24—
GEMINI + DDCoTPrompting strategy=DDCoT2024.01452523.75—
METER + EQSIMSetting=Fine-tuning with EQSIM regularization2023.0344.9922.7518.75—
METERSetting=Standard fine-tuning (FT) on Flickr30K2023.0343.520.7514.75—
syn-BLIPfinetuned_on=SyViC2023.0343.2519.7516.75—
OPENFLAMINGO + CCoTPrompting strategy=CCoT2024.0142.527.520—
GEMINI + CoCoTPrompting strategy=CoCoT2024.014032.527.75—
METERSetting=Direct evaluation after pre-training2023.0339.2515.7511.99—
OPENFLAMINGOPrompting strategy=Standard2024.013941.2533.25—
BLIP2023.033818.2514.5—
GEMINIPrompting strategy=Standard2024.0130.752625—
syn-CyCLIPfinetuned_on=SyViC2023.033010.758.25—
CyCLIP2023.0328.59.57.25—
Random Choice2024.01252516.67—
GEMINI + CCoTPrompting strategy=CCoT2024.0122.53320.75—
Aesthetics2026.01———24.1
GenEval2026.01———24.6
LYP2026.01———22.9
MA-PAPSPMethod Setup=MA-PAPSP, Backbone Model=SigLIP SO-400M2026.01———19.6
MA-PAPSPsize=S2026.01———22.8
MA-PAPSPsize=L2026.01———19.6
MA-PAPSP-LModel Scale=Large, Memory Augmentation=true2026.01———19.6
MA-PAPSP-SModel Scale=Small, Memory Augmentation=true2026.01———22.8
PAPSPsize=S2026.01———25.8
PAPSPsize=L2026.01———20.8
PAPSP-LModel Scale=Large, Memory Augmentation=false2026.01———20.8
PAPSP-SModel Scale=Small, Memory Augmentation=false2026.01———25.8
Qwen-VL-72BMethod Setup=LVLM-PAPSP, Backbone Model=Qwen-VL-72B2026.01———20.3
Qwen-VL-7BMethod Setup=LVLM-PAPSP, Backbone Model=Qwen-VL-7B2026.01———20.9
ReCoVERR2026.01———25.2
SeeTRUE2026.01———24.2
VQAScore2026.01———24