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Human-Object Interaction Detection on V-COCO 1.0 (test)

68.8AP_role (#1)MUREN
38.84846.62454.462.176Jun 13, 2022Sep 6, 2022Nov 30, 2022Feb 24, 2023May 20, 2023Aug 13, 2023Nov 7, 2023

Evaluation results

MethodLinks
MURENBackbone=R50, Feature=A2023.0468.8—71——
UniHOI-lBackbone=BLIP-2, scale=large2023.1168.05—70.82——
UniHOI-mBackbone=BLIP-2, scale=medium2023.1167.95—70.61——
Xie et al. (large)scale=large2023.1166.5—69.9——
DisTRBackbone=R50, Feature=A2023.0466.2—68.5——
STIPBackbone=ResNet-50, Feature=A+S+L (Appearance+Spatial+Linguistic)2022.0666—70.7——
STIPBackbone=R50, Feature=A+S+L2023.0466—70.7——
DiffHOI-LArchitecture Type=One-stage methods2023.0565.7—68.2——
UniHOI-SBackbone=ResNet-502023.0765.6—68.3——
UniHOI-sBackbone=BLIP-2, scale=small2023.1165.58—68.27——
STIPBackbone=ResNet-50, Feature=A (Appearance)2022.0665.1—69.7——
CDN2023.1163.91—65.89——
CDNBackbone=R101, Feature=A2023.0463.9—65.9——
CDNArchitecture Type=One-stage methods2023.0563.9—65.9——
CDN-LBackbone=ResNet-1012023.0763.9—65.9——
SOV-STG-LBackbone=ResNet-1012023.0763.9—65.4——
SOV-STG-VLA-SBackbone=ResNet-502023.0763.8—65.7——
SOV-STG-MBackbone=ResNet-1012023.0763.7—65.2——
GEN-VLKT-LBackbone=ResNet-1012023.0763.6—65.9——
GEN-VLKT-lscale=large2023.1163.58—65.93——
HOICLIP2023.1163.5—64.8——
HOICLIPBackbone=ResNet-502023.0763.5—64.8——
GEN-VLKT-MBackbone=ResNet-1012023.0763.3—65.6——
GEN-VLKT-mscale=medium2023.1163.28—65.58——
IFArchitecture Type=One-stage methods2023.0563—65.2——
ParMapArchitecture Type=One-stage methods2023.0563—65.1——
Liu et al.2023.1163—65.2——
GEN-VLKT-sscale=small2023.1162.41—64.46——
GEN-VLKTArchitecture Type=One-stage methods2023.0562.4—64.5——
GEN-VLKT-SBackbone=ResNet-502023.0762.4—64.5——
VIPLO-lscale=large2023.1162.2—68——
MSTRBackbone=R50, Feature=A+M2023.0462—65.2——
MSTRArchitecture Type=One-stage methods2023.0562—65.2——
MSTRBackbone=ResNet-502023.0762—65.2——
RLIP-ParSeBackbone=ResNet-502023.0761.9—64.2——
UPTArchitecture Type=Two-stage methods2023.0561.3—67.1——
SOV-STG-SBackbone=ResNet-502023.0761.2—62.5——
DiffHOI-SArchitecture Type=One-stage methods2023.0561.1—63.5——
ViPLOArchitecture Type=Two-stage methods2023.0560.9—66.6——
VIPLO-sscale=small2023.1160.9—66.6——
UPT2023.1160.7—66.2——
UPTBackbone=R50, Feature=A2023.0459—64.5——
FGAHOIBackbone=ResNet-502023.0759—59.3——
QPICBackbone=ResNet-50, Feature=A (Appearance)2022.0658.8—61——
QPICBackbone=R50, Feature=A2023.0458.8—61——
QPIC2023.1158.8—61——
QPICArchitecture Type=One-stage methods2023.0558.3—60.7——
HOTRBackbone=ResNet-50, Feature=A (Appearance)2022.0655.2—64.4——
HOTRBackbone=R50, Feature=A2023.0455.2—61——
HOTR2023.1155.2—64.4——
GGNetBackbone=HG-104, Feature=A (Appearance)2022.0654.7————
GGNetBackbone=HG104, Feature=A2023.0454.7————
SCGBackbone=R50-FPN, Feature=A+S+M2023.0454.2—60.9——
SCGArchitecture Type=Two-stage methods2023.0554.2—60.9——
AS-NetBackbone=ResNet-50, Feature=A (Appearance)2022.0653.9————
AS-NETBackbone=R50, Feature=A2023.0453.9————
IDNBackbone=ResNet-50, Feature=A+S (Appearance+Spatial)2022.0653.3—60.3——
IDNBackbone=R50, Feature=A+S2023.0453.3—60.3——
IDN2023.1153.3—60.3——
ConsNetBackbone=R50-FPN, Feature=A+S+L (Appearance+Spatial+Linguistic)2022.0653.2————
FCMNetBackbone=ResNet-50, Feature=A+S+L+P (Appearance+Spatial+Linguistic+Pose)2022.0653.1————
HOITransBackbone=ResNet-50, Feature=A (Appearance)2022.0652.9————
VSGNetBackbone=R152, Feature=A+S2023.0451.8—57——
VSGNet2023.1151.8—57——
IPNetBackbone=HG-104, Feature=A (Appearance)2022.0651————
DRGBackbone=R50-FPN, Feature=A+S+L (Appearance+Spatial+Linguistic)2022.0651————
DRGBackbone=R50-FPN, Feature=A+S+L+M2023.0451————
TINBackbone=ResNet-50, Feature=A+S+P (Appearance+Spatial+Pose)2022.0648.7————
VCLBackbone=R101, Feature=A2023.0448.3————
TINBackbone=R50, Feature=A+S+P2023.0447.8—54.2——
UnionDetBackbone=ResNet-50, Feature=A (Appearance)2022.0647.5—56.2——
UnionDetBackbone=R50, Feature=A2023.0447.5—56.2——
iCANBackbone=R50, Feature=A+S2023.0445.3—52.4——
GPNNBackbone=ResNet-101, Feature=A (Appearance)2022.0644————
GPNNBackbone=R101, Feature=A2023.0444————
InteractNetBackbone=R50-FPN, Feature=A (Appearance)2022.0640—48——
AS-NetBackbone=R502022.04—53.9———
BodyPartMapBackbone=ResNet-502023.03———6365.1
CATN (with fastText)Backbone=R50, Word Embedding=fastText2022.04—60.1———
CDNBackbone=ResNet-502023.03———61.763.8
DRGBackbone=R50-FPN2022.04—51———
DRGBackbone=ResNet-50-FPN2023.03———51—
DTBackbone=ResNet-502023.03———66.268.5
GEN-VLKT-BBackbone=ResNet-502023.03———62.464.5
GEN-VLKT-B + OursBackbone=ResNet-502023.03———66.469.2
GEN-VLKT-LBackbone=ResNet-1012023.03———63.665.9
GEN-VLKT-L + OursBackbone=ResNet-1012023.03———66.569.9
GEN-VLKT-MBackbone=ResNet-1012023.03———63.365.6
GEN-VLKT-M + OursBackbone=ResNet-1012023.03———66.869.8
GG-NetBackbone=Hourglass-1042023.03———54.7—
HOI TransformerBackbone=R502022.04—52.9———
HOTRBackbone=R502022.04—55.2———
HQMBackbone=ResNet-502023.03———63.6—
IFBackbone=ResNet-502023.03———6365.2
IPNetBackbone=HG-1042022.04—51———
MSTRBackbone=ResNet-502023.03———6265.2
PDNetBackbone=R1522022.04—52.6———
QPICBackbone=R502022.04—58.8———
QPICBackbone=ResNet-502023.03———58.861
SCGBackbone=ResNet-502023.03———54.260.9