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Multimodal Multilabel Classification on MM-IMDB (test)

63.2Macro F1MMBT-Large
29.9238.5647.255.84Sep 6, 2019Oct 20, 2020Dec 4, 2021Jan 18, 2023Mar 3, 2024Apr 17, 2025Jun 1, 2026

Evaluation results

MethodLinks
MMBT-LargeModel Scale=Large2019.0963.268—————
ViLBertFine-tuning Source=Standard pre-trained2019.096368.6—————
PMF-large (M=4, Lf=22)Updated Param. (Million)=4.5, Train Memory Usage (GB)=18.44, Inference Memory Usage (GB)=6.42, Backbone=bert-large / vit-large, M (prompt length)=4, Lf (starting fusion layer)=222023.0461.6666.72—————
MMBT2019.0961.666.8—————
MMBTModel Scale=Base2019.0961.666.8—————
ViLBert-VCRFine-tuning Source=VCR2019.0961.667.6—————
ViLBert-RefcocoFine-tuning Source=Refcoco2019.0961.467.7—————
ViLBert-Flickr30kFine-tuning Source=Flickr30k2019.0961.467.8—————
MMBT*Updated Param. (Million)=196.5, Train Memory Usage (GB)=37.87, Inference Memory Usage (GB)=3.48, Backbone=bert-base / vit-base2023.0460.866.1—————
ConcatBertDescription=Concatenation of Bert and Img baselines2019.0960.565.9—————
ViLBert-VQAFine-tuning Source=VQA2019.096066.4—————
BertModality=Text-only, Backbone=BERT base-uncased2019.0959.965.4—————
FiLMBertDescription=FiLM + BERT, Backbone=ResNet-152 features2019.0959.765.1—————
MBT*Updated Param. (Million)=196.0, Train Memory Usage (GB)=38, Inference Memory Usage (GB)=4.06, Backbone=bert-base / vit-base2023.0459.664.81—————
LateConcatUpdated Param. (Million)=196.0, Train Memory Usage (GB)=38.54, Inference Memory Usage (GB)=3.36, Backbone=bert-base / vit-base2023.0459.5664.92—————
Late FusionDescription=Averages scores of Bert and Img classifiers2019.0959.466.2—————
BERTUpdated Param. (Million)=109.0, Train Memory Usage (GB)=30.82, Inference Memory Usage (GB)=2.79, Backbone=bert-base2023.0458.9164.31—————
PMF (M=4, Lf=10)Updated Param. (Million)=2.5, Train Memory Usage (GB)=12.84, Inference Memory Usage (GB)=4.08, Backbone=bert-base / vit-base, M (prompt length)=4, Lf (starting fusion layer)=102023.0458.7764.51—————
Scalable Diffusion ModelMissing Type=Image, Zero-Shot=true, Backbone=CLIP ViT-B/32, Layers=202026.0258.22——————
Scalable Diffusion ModelMissing Type=Both, Zero-Shot=true, Backbone=CLIP ViT-B/32, Layers=202026.0257.49——————
Scalable Diffusion ModelMissing Type=Text, Zero-Shot=true, Backbone=CLIP ViT-B/32, Layers=202026.0257.24——————
REDEEMMissing Type=Text, Zero-Shot=true2026.0256.32——————
CentralNet2019.0956.163.9—————
CentralNetImage Modality=true, Text Modality=true2022.0456.163.963.163.9———
MFASImage Modality=true, Text Modality=true2022.0455.7—62.5————
ViLTImage Modality=true, Text Modality=true2022.0455.364.764.464.6———
RAGPTMissing Type=Text, Zero-Shot=true2026.0254.33——————
P-LateConcatUpdated Param. (Million)=0.3, Train Memory Usage (GB)=30.82, Inference Memory Usage (GB)=3.43, Backbone=bert-base / vit-base, Prompt Length=102023.0453.9159.93—————
CL-DMDFModel Category=Graph-Based2026.0653.2863.25—————
DCPMissing rate η=70%, Image presence (%)=30%, Text presence (%)=100%2024.1053.14——————
P-MMBTUpdated Param. (Million)=0.9, Train Memory Usage (GB)=30.9, Inference Memory Usage (GB)=3.48, Backbone=bert-base / vit-base, Prompt Length=102023.0452.9559.3—————
ViLTImage Modality=false, Text Modality=true2022.0452.563.36262.9———
DePTMissing rate η=70%, Image presence (%)=30%, Text presence (%)=100%2024.1052.13——————
DynMM-dModality=I+T, Computation Cost (MAdds)=12.1M2022.0351.660.35—————
DynMMModel Category=Attention-Based2026.0651.660.35—————
ReFNetModel Category=Encoder-Decoder2026.0651.5159.45—————
GMU2019.0951.463—————
DynMM-cModality=I+T, Computation Cost (MAdds)=9.8M2022.0351.259.72—————
DCPMissing Type=Image, Zero-Shot=true2026.0251.15——————
Late Fusion (E2)Modality=I+T, Computation Cost (MAdds)=10.3M2022.0350.9459.55—————
LRMFModel Category=Encoder-Decoder2026.0650.7358.95—————
MaPLeMissing rate η=70%, Image presence (%)=30%, Text presence (%)=100%2024.1050.64——————
MMPMissing rate η=70%, Image presence (%)=30%, Text presence (%)=100%2024.1050.52——————
REDEEMMissing Type=Both, Zero-Shot=true2026.0250.52——————
CCAModel Category=Encoder-Decoder2026.0650.4560.31—————
DynMM-bModality=I+T, Computation Cost (MAdds)=7.8M2022.0350.4259.59—————
BlindPromptUpdated Param. (Million)=< 0.1, Train Memory Usage (GB)=29.57, Inference Memory Usage (GB)=3.65, Backbone=bert-base / vit-base, Prompt Length=202023.0450.1856.46—————
SyPMissing Type=Image, Zero-Shot=true2026.0250.16——————
RMFEModel Category=Attention-Based2026.0649.8258.67—————
LinearUpdated Param. (Million)=< 0.1, Train Memory Usage (GB)=3.76, Inference Memory Usage (GB)=3.23, Backbone=bert-base / vit-base2023.0449.7656.83—————
RAGPTMissing Type=Both, Zero-Shot=true2026.0249.55——————
LRTFModality=I+T, Computation Cost (MAdds)=10.3M2022.0349.2659.18—————
MFASImage Modality=false, Text Modality=true2022.0448.960.258.560.6———
DynMM-aModality=I+T, Computation Cost (MAdds)=1.6M2022.0348.8459.57—————
CoOpMissing rate η=70%, Image presence (%)=30%, Text presence (%)=100%2024.1048.82——————
P-BERTUpdated Param. (Million)=< 0.1, Train Memory Usage (GB)=28.13, Inference Memory Usage (GB)=2.99, Backbone=bert-base, Prompt Length=102023.0448.6754.58—————
MDPMissing Type=Image, Zero-Shot=true2026.0248.61——————
PromptFuseUpdated Param. (Million)=< 0.1, Train Memory Usage (GB)=29.57, Inference Memory Usage (GB)=3.55, Backbone=bert-base / vit-base, Prompt Length=202023.0448.5954.49—————
MFMModel Category=Encoder-Decoder2026.0648.5356.44—————
MI-MatrixModality=I+T, Computation Cost (MAdds)=10.3M2022.0348.3658.45—————
SyPMissing Type=Both, Zero-Shot=true2026.0248.02——————
Unimodal TextModel Category=Unimodal2026.0647.5959.37—————
DCPMissing Type=Text, Zero-Shot=true2026.0247.58——————
DCPMissing Type=Both, Zero-Shot=true2026.0247.47——————
MAPMissing Type=Text, Zero-Shot=true2026.0247.44——————
Text Network (E1)Modality=T, Computation Cost (MAdds)=0.7M2022.0347.2159.16—————
REDEEMMissing Type=Image, Zero-Shot=true2026.0247.2——————
MI-MatrixModel Category=Graph-Based2026.0646.7755.87—————
OursTraining Text Ratio=30%, Testing Text Ratio=30%, Training Image Ratio=100%, Testing Image Ratio=100%2022.0446.6——————
SyPMissing Type=Text, Zero-Shot=true2026.0246.52——————
Input-level promptsMissing rate η=70%, Training Image=30%, Training Text=100%, Testing Image=30%, Testing Text=100%2023.0346.3——————
CentralNetImage Modality=false, Text Modality=true2022.0445.9—57.5————
Attention-level promptsMissing rate η=70%, Training Image=30%, Training Text=100%, Testing Image=30%, Testing Text=100%2023.0344.74——————
ConcatBowDescription=Concatenation of Bow and Img baselines2019.0943.853.6—————
Input-level promptsMissing rate η=70%, Training Image=65%, Training Text=65%, Testing Image=65%, Testing Text=65%2023.0342.66——————
MDPMissing Type=Both, Zero-Shot=true2026.0241.62——————
Attention-level promptsMissing rate η=70%, Training Image=65%, Training Text=65%, Testing Image=65%, Testing Text=65%2023.0341.56——————
New baselineTraining Text Ratio=30%, Testing Text Ratio=30%, Training Image Ratio=100%, Testing Image Ratio=100%2022.0440.4——————
MDPMissing Type=Text, Zero-Shot=true2026.0240.36——————
AOEPTBackbone=ViLT, Missing Rate=70%2026.0539.86———37.4642.2339.89
Input-level promptsMissing rate η=70%, Training Image=100%, Training Text=30%, Testing Image=100%, Testing Text=30%2023.0339.22——————
MAPMissing Type=Both, Zero-Shot=true2026.0239.13——————
RAGPTMissing Type=Image, Zero-Shot=true2026.0238.82——————
MAPMissing Type=Image, Zero-Shot=true2026.0238.74——————
ViTUpdated Param. (Million)=86.5, Train Memory Usage (GB)=9.36, Inference Memory Usage (GB)=1.99, Backbone=vit-base2023.0438.3949.88—————
Attention-level promptsMissing rate η=70%, Training Image=100%, Training Text=30%, Testing Image=100%, Testing Text=30%2023.0338.16——————
BowModality=Text-only2019.0938.145.6—————
MemPromptBackbone=ViLT, Missing Rate=70%2026.0538.07———35.440.5838.23
BaselineMissing rate η=70%, Training Image=30%, Training Text=100%, Testing Image=30%, Testing Text=100%2023.0337.73——————
RAGPTBackbone=ViLT, Missing Rate=70%2026.0537.61———36.1939.936.74
SyPBackbone=ViLT, Missing Rate=70%2026.0536.34———34.5539.6634.81
BaselineMissing rate η=70%, Training Image=65%, Training Text=65%, Testing Image=65%, Testing Text=65%2023.0336.26——————
DCPBackbone=ViLT, Missing Rate=70%2026.0536.06———34.1538.1835.86
MAPsBackbone=ViLT, Missing Rate=70%2026.0535.83———35.2936.9235.28
VPTUpdated Param. (Million)=< 0.1, Train Memory Usage (GB)=6.12, Inference Memory Usage (GB)=2.01, Backbone=vit-base, Prompt Length=102023.0435.2244.49—————
BaselineMissing rate η=70%, Training Image=100%, Training Text=30%, Testing Image=100%, Testing Text=30%2023.0335.13——————
ViLTImage Modality=true, Text Modality=false2022.043551.84851.1———
CentralNetImage Modality=true, Text Modality=false2022.0433.5—49.2————
ImgModality=Image-only, Backbone=ResNet-1522019.0932.544.4—————
Image onlyModality=Image-only, Testing Text Ratio=0%2022.0431.2——————