List your company

Visual Question Answering on VQA (test-std)

84AccuracyCoCa
70.4873.9977.581.01Jun 11, 2020Apr 7, 2021Feb 1, 2022Nov 28, 2022Sep 24, 2023Jul 20, 2024May 16, 2025

Evaluation results

MethodLinks
CoCa#Images=3B, Para.=2.1B2022.1284————
GIT#Images=0.8B, Para.=0.7B2022.1278.81————
X-VLMPre-training Images Scale=16M2021.1178.37————
PTP-BLIP#Images=14M, Para.=220M2022.1278.33————
BLIPCapFilt-LPre-train #Images=129M2022.0178.32————
BLIPPre-train #Images=129M2022.0178.17————
SimVLMbase†Pre-train #Images=1.8B2022.0178.14————
SimVLM_basePre-training Images Scale=1.8B2021.1178.14————
SimVLM#Images=1.8B, Para.=1.2B2022.1278.14————
X-VLMPre-training Images Scale=4M2021.1178.09————
METER-CLIP2021.1177.64————
BLIPPre-train #Images=14M2022.0177.62————
BLIP#Images=14M, Para.=220M2022.1277.62————
BaselineBase Model=CLIP-ViL, Training Protocol=Re-Pretrain2022.0476.7————
VinVL_largePre-training Images Scale=5.6M2021.1176.6————
VinVL_L#Images=5.6M, Para.=347M2022.1276.6————
METER-Swin2021.1176.42————
PTP-BLIP#Images=4M, Para.=220M2022.1276.18————
VinVL#Images=6M2022.0276.12————
ALBEFPre-training Images=14M2021.0776.04————
ALBEFPre-train #Images=14M2022.0176.04————
MADBase Model=VILLA, Training Protocol=Only Finetune, Teacher Visual Encoder=CLIP-V, Teacher Text Encoder=CLIP-T2022.0476.04————
ALBEFPre-training Images Scale=14M2021.1176.04————
ALBEF#Images=14M, Para.=210M2022.1276.04————
CoCa-LargeParams (million)=672.12023.1075.3————
UNIMOPre-train #Images=5.6M2022.0175.27————
UNIMO#Images=5.6M, Para.=307M2022.1275.27————
UNIMOModel Size=large2020.1275.27————
ERNIE-ViLModel Size=large2020.1274.93————
TCL#Images=4M2022.0274.92————
ALBEF BaseParams=581, TFLOPS=7.052023.1074.89————
VILLAModel size=Large2020.0674.87————
BaselineBase Model=VILLA, Training Protocol=Only Finetune2022.0474.87————
VillaModel Size=large2020.1274.87————
ALBEFPre-training Images=4M2021.0774.7————
ALBEF#Images=4M2022.0274.7————
ALBEFPre-training Images Scale=4M2021.1174.7————
ALBEFParams (million)=241.02023.1074.7————
PTP-VILT#Images=4M, Para.=87M2022.1274.36————
KD-VLP2021.1174.31————
BLIP†#Images=4M, Para.=220M2022.1274.13————
CLIP-ViLpParams (million)=187.72023.1074.1————
UNITERModel size=Large2020.0674.02————
UNIMO#Images=4M2022.0274.02————
BaselineBase Model=UNITER, Training Protocol=Only Finetune2022.0474.02————
UNITER_large2021.1174.02————
UNIMOModel Size=base2020.1274.02————
UNITERModel Size=large2020.1274.02————
ALBEF PELAParams=259, TFLOPS=2.472023.1073.87————
OscarModel size=Large2020.0673.82————
OscarModel Size=large2020.1273.82————
VILLA-BaseParams (million)=146.52023.1073.7————
VILLAModel size=Base2020.0673.67————
VILLA2021.0773.67————
VILLAPre-train #Images=4M2022.0173.67————
VILLA#Images=4M2022.0273.67————
VILLA2021.1173.67————
E2E-VLP2021.1173.67————
VillaModel Size=base2020.1273.67————
SOHOPre-train #Images=219K2022.0173.47————
SOHO2021.1173.47————
OscarModel size=Base2020.0673.44————
OSCAR2021.0773.44————
OSCARPre-train #Images=4M2022.0173.44————
OSCAR#Images=4M2022.0273.44————
OSCAR#Images=4M, Para.=155M2022.1273.44————
OscarModel Size=base2020.1273.44————
Oscar BasePretraining Images=4M2021.0273.4————
OSCAR-BaseParams (million)=146.52023.1073.4————
UNITERModel size=Base2020.0672.91————
UNITER2021.0772.91————
UNITERPre-train #Images=4M2022.0172.91————
UNITER#Images=4M2022.0272.91————
UNITER#Images=4M, Para.=155M2022.1272.91————
UNITERParams=116, TFLOPS=0.372023.1072.91————
UNITERModel Size=base2020.1272.91————
UNITER BasePretraining Images=4M2021.0272.9————
UNITER-BaseParams (million)=146.52023.1072.9————
ERNIE-ViLModel Size=base2020.1272.85————
LXMERT2020.0672.54————
LXMERT2021.0772.54————
LXMERTPre-train #Images=180K2022.0172.54————
LXMERTParams=224, TFLOPS=0.412023.1072.54————
LXMERTPretraining Images=180K2021.0272.5————
VL-BERTModel size=Large2020.0672.22————
BaselineBase Model=VL-BERT, Training Protocol=Only Finetune2022.0472.22————
CoCa-Tiny_12 (OPTIMA)Teacher=CoCa-Large, Params (million)=101.8, Inference Speedup=3.4x2023.1071.6————
FALCONPre-trained on=MSCOCO2025.0571.36————
q = 0.5Pre-trained on=MSCOCO2025.0571.31————
VL-BARTPretraining Images=180K2021.0271.3————
VL-T5/BARTPre-train #Images=180K2022.0171.3————
GRIT-VLPPre-trained on=MSCOCO2025.0571.22————
MAFAPre-trained on=MSCOCO2025.0571.22————
CoCa-Tiny_12Teacher=CoCa-Large, Params (million)=101.8, Inference Speedup=3.4x2023.1071.2————
Progressive-SofteningPre-trained on=MSCOCO2025.0571.17————
Progressive-HardeningPre-trained on=MSCOCO2025.0571.15————
DiHTPre-trained on=MSCOCO2025.0571.07————
SRCLPre-trained on=MSCOCO2025.0571.01————
VisualBERT2020.0671————
VisualBERT2021.0771————