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Visual Commonsense Reasoning on VCR (test)

94AccuracyModCR
27.23244.56661.979.234Aug 16, 2019May 4, 2020Jan 22, 2021Oct 11, 2021Jul 1, 2022Mar 20, 2023Dec 8, 2023

Evaluation results

MethodLinks
ModCRTypes=fine-tune VLMs2023.0594——————
ModCRTypes=frozen VLMs2023.0593.6——————
ROBERTa-L2023.0591.8——————
CALEC2023.0590.5——————
OFA-L2023.0589.4——————
Oscar-B2023.0586——————
MVPTR2023.0585.3——————
KVL-BERT_LARGEModel Scale=Large2020.1278.6——————
VL-BERT_LARGEModel Scale=Large2020.1278.4——————
KVL-BERT_LARGEModel Scale=Large2020.1276.4——————
VL-BERT_LARGEModel Scale=Large2020.1275.8——————
B2T22019.0875.7——————
B2T22020.1275.7——————
VL-BERT2019.0874.8——————
ViLBERT2019.0874.6——————
ViLBERT2020.1274.6——————
Unicoder-VL2019.0874.4——————
Unicoder-VL2020.1274.4——————
Unicoder-VL2020.1273.4——————
ViLBERT2020.1273.3——————
VisualBERT2019.0873.2——————
VisualBERT2020.1273.2——————
B2T22020.1272.6——————
VisualBERT2020.1271.6——————
HGL2020.1270.8——————
CCN2020.1270.5——————
HGL2020.1270.1——————
CCN2020.1268.5——————
R2C2019.0867.3——————
R2C2020.1267.3——————
R2C2020.1265.1——————
KVL-BERT_LARGEModel Scale=Large2020.1260.3——————
VL-BERT_LARGEModel Scale=Large2020.1259.7——————
VL-T5Pretraining Images=180K2021.0258.9——————
UNITER BasePretraining Images=4M2021.0258.2——————
VL-BERT2019.0855.5——————
B2T22019.0855——————
B2T22020.1255——————
Unicoder-VL2019.0854.9——————
Unicoder-VL2020.1254.9——————
ViLBERT2019.0854.8——————
ViLBERT2020.1254.8——————
ViLBERTPretraining Images=3M2021.0254.8——————
VisualBERT2019.0852.4——————
VisualBERT2020.1252.4——————
HGL2020.1249.8——————
VL-BARTPretraining Images=180K2021.0248.9——————
CCN2020.1248.4——————
R2C2019.0844——————
R2C2020.1244——————
ChatGPT w/ VerbalizersComparison=vs BLIP-2 + LSKD2023.1234.7———33.939.645
Mini-GPT4 (Vicuna-13B) + LSKDBackbone=Vicuna-13B, Framework=Mini-GPT4, Distillation=LSKD2023.1234.3———5334.249.1
BLIP-2 (FlanT5XXL-11B) + LSKDBackbone=FlanT5XXL-11B, Framework=BLIP-2, Distillation=LSKD2023.1231.7———4130.241.2
ChatGPT w/ VerbalizersComparison=vs Mini-GPT4 + LSKD2023.1229.8———31.736.840.6
ALBEFSupervision=weakly supervised2022.05—72.974.554.7———
B2T22019.08—72.675.755———
B2T2Model=Single2019.08—72.675.755———
B2T22022.05—7477.157.1———
ERNIE-VIL-LCode=Y2023.07—79.283.566.3———
GPT4RoI-13BCode=Y, #Params=13B+2023.07—89.49181.6———
Human Performance2023.07—919385———
Hun Yuan-VCR@TencentCode=N2023.07—85.88875.6———
KS-MGSR@KDDI Research and SNAPCode=N2023.07—85.386.974.3———
MERLOTCode=Y, #Params=223M2023.07—80.680.465.1———
PEVL2022.05—7676.758.6———
R2C2019.08—65.167.344———
R2CModel=Single2019.08—65.167.344———
R2C2022.05—65.167.344———
RESERVE-LCode=Y, #Params=644M2023.07—8484.972———
SP-VCR@ShopeeCode=N2023.07—83.688.674.4———
TAB-VCR2022.05—70.471.750.5———
Unicoder-VL2022.05—73.474.454.9———
Unicoder-VLCode=Y2023.07—73.474.454.9———
UNITER2022.05—7577.258.2———
UNITER-LCode=Y, #Params=303M2023.07—77.380.862.8———
ViLBERTModel=Single2019.08—73.374.654.8———
VILBERT2022.05—73.374.654.8———
VILBERTCode=Y, #Params=221M2023.07—73.374.654.8———
VILLA-LCode=Y2023.07—78.982.865.7———
VisualBERTEarly Fusion=true, COCO Pre-training=true2019.08—71.673.252.4———
VisualBERTModel=Single2019.08—71.673.252.4———
VisualBERT2022.05—71.673.252.4———
VL-BERTBackbone=BERT-Large, Pre-training=Full2019.08—75.878.459.7———
VL-BERT2022.05—75.878.459.7———
VLBERT-LCode=Y, #Params=383M2023.07—75.878.459.7———
VLUA+@KuaishouCode=N2023.07—84.88774———
VQA-GNN-LCode=Y, #Params=1B+2023.07—85.286.674———