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Visual Commonsense Reasoning on VCR (val)

82.57AccuracyVILLA
41.521252.178162.83573.4919Jun 11, 2020Jul 11, 2020Aug 11, 2020Sep 11, 2020Oct 12, 2020Nov 12, 2020Dec 13, 2020

Evaluation results

MethodLinks
VILLAModel size=Large2020.0682.57———
UNITERModel size=Large2020.0680.49———
VILLAModel size=Base2020.0678.78———
KVL-BERT_LARGEModel Scale=Large2020.1278.6———
VILLAModel size=Large2020.0678.45———
VL-BERTModel size=Large2020.0677.9———
VL-BERT_LARGEModel Scale=Large2020.1277.9———
UNITERModel size=Large2020.0677.22———
UNITERModel size=Base2020.0677.03———
KVL-BERT_LARGEModel Scale=Large2020.1276.3———
B2T22020.1276———
VILLAModel size=Base2020.0675.54———
VL-BERTModel size=Large2020.0675.5———
VL-BERT_LARGEModel Scale=Large2020.1275.5———
UNITER_BASE*Model Scale=Base, Pre-training Strategy=one-stage2020.1275.3———
KVL-BERT_BASEModel Scale=Base2020.1275.1———
UNITERModel size=Base2020.0674.56———
Unicoder-VL2020.0674.5———
ViLBERT2020.1274.5———
Unicoder-VL2020.1274.5———
ViLBERT2020.0674.47———
12-in-12020.0674.4———
VL-BERT_BASEModel Scale=Base2020.1274.4———
KVL-BERT_BASEModel Scale=Base2020.1274———
12-in-12020.0673.8———
VL-BERT_BASEModel Scale=Base2020.1273.8———
VisualBERT2020.0673.2———
VisualBERT2020.1273.2———
UNITER_BASE*Model Scale=Base, Pre-training Strategy=one-stage2020.1272.8———
Unicoder-VL2020.0672.6———
Unicoder-VL2020.1272.6———
ViLBERT2020.0672.42———
ViLBERT2020.1272.4———
B2T22020.1271.9———
VisualBERT2020.0670.8———
VisualBERT2020.1270.8———
CCN2020.1270.6———
HGL2020.1270.6———
HGL2020.1269.4———
CCN2020.1267.4———
R2C2020.1267.2———
VILLAModel size=Large2020.0665.18———
R2C2020.1263.8———
UNITERModel size=Large2020.0662.59———
KVL-BERT_LARGEModel Scale=Large2020.1260———
VILLAModel size=Base2020.0659.75———
VL-BERTModel size=Large2020.0658.9———
VL-BERT_LARGEModel Scale=Large2020.1258.9———
UNITERModel size=Base2020.0657.76———
KVL-BERT_BASEModel Scale=Base2020.1255.6———
12-in-12020.0655.2———
VL-BERT_BASEModel Scale=Base2020.1255.2———
B2T22020.1254.9———
UNITER_BASE*Model Scale=Base, Pre-training Strategy=one-stage2020.1254.9———
Unicoder-VL2020.1254.5———
Unicoder-VL2020.0654.4———
ViLBERT2020.0654.04———
ViLBERT2020.1254———
VisualBERT2020.0652.2———
VisualBERT2020.1252.2———
HGL2020.1249.1———
CCN2020.1247.7———
R2C2020.1243.1———
ALBEFSupervision=weakly supervised2022.05—71.974.554.1
ASMv2-13Btraining_setting=multi-task2024.02—87.888.878.4
ASMv2-13Bsingle-task fine-tuning=true2024.02—88.489.979.4
B2T2Model=Single2019.08—71.97654.9
B2T22022.05—73.277.156.6
BaselineBackbone=CLIP ViT-B/16, Evaluation Protocol=Zero-shot2023.07—53.2446.51—
ERNIE-VIL-L2024.02—78.583.465.8
ERNIE-VIL-LCode=Y2023.07—78.5283.3765.81
GPT4RoI-7Bsingle-task fine-tuning=true2024.02—87.489.678.6
GPT4RoI-7BCode=Y, #Params=7B+2023.07—87.489.678.6
PEVL2022.05—75.176.457.8
R2CModel=Single2019.08—63.867.243.1
R2C2022.05—63.867.243.1
R2CEvaluation Protocol=Supervised2023.07—63.867.2—
Random2023.07—2525—
TAB-VCR2022.05—69.972.250.6
Unicoder-VL2022.05—72.674.554.4
Unicoder-VL2024.02—72.674.554.5
Unicoder-VLCode=Y2023.07—72.674.554.5
UniFine-BaseBackbone=CLIP ViT-B/16, Evaluation Protocol=Zero-shot2023.07—54.9750.72—
UniFine-LargeBackbone=CLIP ViT-L/14@336px, Evaluation Protocol=Zero-shot2023.07—58.4851.88—
UNITER2022.05—74.67757.8
ViLBERTModel=Single2019.08—72.474.554
ViLBERT2024.02—72.474.554
VILBERT2022.05—72.474.554
VILBERTCode=Y, #Params=221M2023.07—72.474.554
VILLA2024.02—78.582.665.2
VILLA-LCode=Y2023.07—78.4582.5765.18
VisualBERTModel=Single2019.08—70.873.252.2
VisualBERT2022.05—70.873.252.2
VL-BERTBackbone=BERT-Base, Pre-training=None2019.08—73.173.854.2
VL-BERTBackbone=BERT-Base, Pre-training=Full2019.08—73.874.455.2
VL-BERTBackbone=BERT-Large, Pre-training=Full2019.08—75.577.958.9
VL-BERT2022.05—73.874.455.2
VLBERT2024.02—75.577.958.9
VLBERT-LCode=Y, #Params=383M2023.07—75.577.958.9