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ResearchFormerly WizWand

Human-Object Interaction Detection on V-COCO Scenario 1 1.0

67.1AP (Role)SCTC
30.38839.91949.4558.981Jan 25, 2021Nov 15, 2021Sep 5, 2022Jun 26, 2023Apr 15, 2024Feb 3, 2025Nov 24, 2025
Updated 7mo ago

Evaluation results

MethodLinks
SCTCBackbone=R502025.1167.1
RLIPv2Backbone=R502025.1165.9
EZ-HOI + ADCBackbone=R502025.1164.5
LOGICHOIBackbone=R502025.1164.4
HOICLIPBackbone=R502025.1163.5
CPCBackbone=R502025.1163.1
ADA-CM + ADCBackbone=R502025.1162.9
PViCBackbone=R502025.1162.8
GENVLKTBackbone=R502025.1162.4
ViPLOBackbone=ViT-B2025.1162.2
RLIPBackbone=R502025.1161.9
EZ-HOI + BoostAdapterBackbone=R502025.1161.3
FGAHOIBackbone=Swin-T2025.1160.5
EZ-HOIBackbone=R502025.1160.5
ADA-CM + BoostAdapterBackbone=R502025.1159.9
UPTBackbone=R502025.1159
QPICBackbone=R502025.1158.8
ADA-CMBackbone=R502025.1158.5
HOTRBackbone=R502025.1155.2
DRGBackbone=R50-F2025.1151
RCD3Mode=Transfer learning, D-Train Set=HAKE, C-Train Set=V-COCO2021.0149.1
RCD2Mode=Transfer learning, D-Train Set=HICO-DET, V-COCO, C-Train Set=V-COCO2021.0148.7
RCD1Mode=Transfer learning, D-Train Set=HICO-DET, C-Train Set=V-COCO2021.0148.5
RCDMode=Default joint learning, D-Train Set=V-COCO, C-Train Set=V-COCO2021.0148.4
R+iCAN + D3NIS module=applied, Fusion strategy=early, D-Train Set=HAKE (D3)2021.0146.1
R+iCAN + D3NIS module=applied, Fusion strategy=late, D-Train Set=HAKE (D3)2021.0145.8
iCANFusion strategy=early2021.0145.3
iCANBackbone=R502025.1145.3
iCANFusion strategy=late2021.0144.7
GPNN2021.0144
InteractNet2021.0140
Gupta et al.2021.0131.8