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Predicate Classification on Visual Genome

81.1Recall@50MOTIFNET
25.751240.120654.4968.8594Jan 10, 2017Jul 28, 2018Feb 12, 2020Aug 29, 2021Mar 16, 2023Sep 30, 2024Apr 18, 2026

Evaluation results

MethodLinks
MOTIFNETGraph constraints=false2017.1181.188.3———————
MOTIFNET-NOCONTEXTGraph constraints=false2017.1178.885.9———————
FREQ-OVERLAPGraph constraints=false2017.1175.782.9———————
MESSAGE PASSING+Graph constraints=false2017.1175.283.6———————
FREQGraph constraints=false2017.1171.381.2———————
JMSGGgraph constraints=true, bi-level sampling=false2023.0470.871.724.928———36.840.3
PE-Net(P)Backbone=ResNeXt-101-FPN, Training Protocol=PL only2023.0368.270.123.125.445.747.8———
ASSOC. EMBEDGraph constraints=false2017.116875.2———————
RU-Netgraph constraints=true, bi-level sampling=false2023.0467.769.6—24.2————35.9
MSDNGraph constraints=true2017.116771———————
R-CAGCNBackbone=ResNeXt-101-FPN2023.0366.668.318.319.942.544.1———
Seq2Seqgraph constraints=true, bi-level sampling=false2023.0466.468.526.130.5———37.542.2
Motifs+graph constraints=true, bi-level sampling=false2023.046667.914.615.8———23.925.6
KERNBackbone=ResNeXt-101-FPN, Reproduction=codebase [13], [27]2023.0365.867.617.719.241.843.4———
VTransEBackbone=ResNeXt-101-FPN2023.0365.767.614.715.840.241.7———
FlowSGMethod Stages=Two-stage, Evaluation Protocol=closed-set2026.0465.768.849.253.3—————
VCTreeBackbone=ResNeXt-101-FPN2023.0365.567.416.717.941.142.7———
VCTreegraph constraints=true, bi-level sampling=false2023.0465.567.415.416.6———24.926.6
VCTreeMethod Stages=Two-stage, Evaluation Protocol=closed-set2026.0465.567.416.717.9—————
GR-CNNBackbone=ResNeXt-101-FPN, Reproduction=codebase [13], [27]2023.0365.467.216.417.240.942.2———
MotifsBackbone=ResNeXt-101-FPN2023.0365.367.214.916.340.141.8———
MOTIFMethod Stages=Two-stage, Evaluation Protocol=closed-set2026.0465.367.214.916.3—————
GPS-NetBackbone=ResNeXt-101-FPN, Reproduction=codebase [13], [27]2023.0365.267.115.216.640.241.9———
GPS-Netgraph constraints=true, bi-level sampling=false2023.0465.267.115.216.6———24.726.6
MOTIFNETGraph constraints=true2017.1165.267.1———————
PE-NetBackbone=ResNeXt-101-FPN, Training Protocol=PL and PR2023.0364.967.231.533.848.250.5———
RelDNgraph constraints=true, bi-level sampling=false2023.0464.866.715.817.2———25.427.3
Motifs++graph constraints=true, bi-level sampling=false2023.0464.666.718.520———28.830.8
MSDNgraph constraints=true, bi-level sampling=false2023.0464.666.615.917.5———25.527.7
GPS-Net++graph constraints=true, bi-level sampling=false2023.0464.466.719.221.4———29.632.4
MOTIFNET-NOCONTEXTGraph constraints=true2017.1163.765.6———————
CAPSGGMethod Stages=Two-stage, Evaluation Protocol=closed-set2026.0463.467.7———————
OpenPSGMethod Stages=Two-stage, Evaluation Protocol=closed-set, reproduced=true2026.0462.267.445.850.3—————
IMP++graph constraints=true, bi-level sampling=false2023.0461.163.11111.8———18.619.9
HL-Netgraph constraints=true, bi-level sampling=false2023.0460.767—22.8————34
FREQ-OVERLAPGraph constraints=true2017.1160.662.2———————
FREQGraph constraints=true2017.1159.964.1———————
MESSAGE PASSING+Graph constraints=true2017.1159.361.3———————
BGNNBackbone=ResNeXt-101-FPN, Reproduction=codebase [13], [27]2023.0359.261.330.432.944.847.1———
BGNNgraph constraints=true, bi-level sampling=true2023.0459.261.330.432.9———40.242.8
PE-Net-ReweightBackbone=ResNeXt-101-FPN, Training Protocol=PL and PR, Re-weighting Strategy=[2]2023.035961.438.840.748.951.1———
PE-NetMethod Stages=Two-stage, Evaluation Protocol=closed-set2026.045961.438.840.7—————
MSDN-FREQGraph constraints=true2017.115661———————
SQUATgraph constraints=true, bi-level sampling=true2023.0455.757.930.933.4———39.742.4
Motifs-NICEBackbone=ResNeXt-101-FPN2023.0355.157.229.932.342.544.8———
ASSOC. EMBEDGraph constraints=true2017.1154.255.5———————
DSGGMethod Stages=Two-stage, Evaluation Protocol=closed-set2026.0453.965.139.449.9—————
Motifs-ReweightBackbone=ResNeXt-101-FPN, Re-weighting Strategy=[2]2023.0353.255.533.736.143.545.8———
Motifs-BPL-SABackbone=ResNeXt-101-FPN2023.0350.752.529.731.740.242.1———
Motifs-PPDLBackbone=ResNeXt-101-FPN2023.0347.247.632.233.339.740.5———
VCTree-TDEgraph constraints=true, bi-level sampling=false2023.0447.251.625.428.7———3336.9
Motifs-TDEBackbone=ResNeXt-101-FPN, Strategy=Total Direct Effect (TDE)2023.0346.251.425.529.135.940.3———
MESSAGE PASSINGGraph constraints=true2017.1144.853———————
Iterative Message PassingPooling strategy=learnt weighted sum2017.0144.7553.08———————
Motifs-GCLBackbone=ResNeXt-101-FPN2023.0342.744.436.138.239.441.3———
MSDN (current best reproducible)Graph constraints=true2017.1142.348.2———————
Motifs-CogTreeBackbone=ResNeXt-101-FPN2023.0335.636.826.4293132.9———
Iterative Message PassingPooling strategy=max-pooling2017.0134.3341.99———————
Iterative Message PassingPooling strategy=average pooling2017.0132.3939.63———————
VRDGraph constraints=true2017.1127.935———————
Lu et al.2017.0127.8835.04———————
BGNNgraph constraints=true, bi-level sampling=true2023.04——30.432.9—————
GPS-Netgraph constraints=true2023.04——15.216.6—————
GPS-Net+graph constraints=true2023.04——27.129.1——21.5——
HL-Netgraph constraints=true2023.04———22.8—————
IMP++graph constraints=true2023.04——1111.8——8.9——
JMSGGgraph constraints=true2023.04——24.928—————
Motifs+graph constraints=true2023.04——14.615.8——11.5——
MSDNgraph constraints=true2023.04——15.917.5—————
RelDNgraph constraints=true2023.04——15.817.2—————
RU-NetBackbone=ResNeXt-101-FPN2023.03———24.2—46.9———
RU-Netgraph constraints=true2023.04———24.2—————
Seq2Seqgraph constraints=true2023.04——26.130.5——21.3——
SQUATgraph constraints=true, bi-level sampling=true2023.04——30.933.4——25.6——
VCTree-TDEgraph constraints=true, source=reported from [40]2023.04——25.428.7——18.4——
VCTree+graph constraints=true2023.04——15.416.6——12.4——