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Object Detection on CrowdHuman (val)

94.1APD-DETR + Ours
4.55627.80351.0574.297Nov 25, 2020Jul 4, 2021Feb 11, 2022Sep 20, 2022Apr 30, 2023Dec 7, 2023Jul 16, 2024

Evaluation results

MethodLinks
D-DETR + OursBackbone=Swin-L, #Queries=10002022.0394.1————37.787.1—
S-RCNN + OursBackbone=Swin-L, #Queries=5002022.0393.8————37.486.5—
D-DETRBackbone=Swin-L, #Queries=10002022.0393.4————39.686.3—
S-RCNNBackbone=Swin-L, #Queries=5002022.0393.1————39.985.1—
S-RCNN+Ourscategory=query-based, #Queries=7502022.0392.5————41.683.3—
D-DETR+Ourscategory=query-based, #Queries=10002022.0392.1————41.584—
S-RCNN+Ourscategory=query-based, #Queries=5002022.0392————41.483.2—
PEDRcategory=query-based, #Queries=10002022.0391.6————43.783.3—
D-DETRcategory=query-based, #Queries=10002022.0391.5————43.783.1—
S-RCNNcategory=query-based, #Queries=7502022.0391.3————44.881.3—
o2fNMS=false2023.0390.9—97.9————45.2
FPN+MIPcategory=box-based2022.0390.7————41.482.4—
S-RCNNcategory=query-based, #Queries=5002022.0390.7————44.781.4—
PBNcategory=box-based2022.0389.3————43.4——
Sparse R-CNNNMS=false2020.1189.2—95.948.3————
POTO+3DMF+AuxNMS=false2023.0389.2—96.6————49.6
POTOcategory=point-based2022.0389.1————47.879.3—
ATSS+MIPcategory=box-based2022.0388.7————51.677—
POTONMS=false2023.0388.7—96.6————52
OTAscheduler=2.5x2021.0388.446.695.1—————
FPN+soft NMScategory=box-based2022.0388.2————42.979.8—
LLAscheduler=2.5x2021.038847.994—————
ATSSscheduler=2.5x2021.0387.449.594.2—————
FCOS+MIPcategory=point-based2022.0387.3————51.277.3—
ATSScategory=box-based2022.0387————51.175.9—
FCOScategory=point-based2022.0386.8————5475.7—
Deformable DETRNMS=false2020.1186.7—92.554————
DINOBackbone=ResNet-50, #Shot=Full, Secs/Img=0.272024.0786.7—94.5——57.6——
FCOSscheduler=2.5x2021.0386.45594.1—————
Faster R-CNN with FPNscheduler=2.5x2021.0386.148.790.4—————
FCOSNMS=true2020.1186.1—94.355.2————
FCOSNMS=true2023.0386.1—94.3————55.2
PAAscheduler=2.5x2021.038652.292—————
Iter-SRCNNBackbone=ResNet-50, #Shot=Full, Secs/Img=0.25, Note=SRCNN denotes Sparse R-CNN [40]2024.0785.9—93.3——58.3——
FPN+NMScategory=box-based2022.0385.8————42.979.8—
RetinaNetcategory=box-based2022.0385.3————55.173.7—
Faster R-CNNNMS=true2020.1185—90.250.4————
FPN+NMScategory=box-based, implementation=PBM [21]2022.0384.9————46.3——
Adaptive NMScategory=box-based, implementation=PBM [21]2022.0384.7————47.7——
FreeAnchorscheduler=2.5x2021.0383.951.389.8—————
RetinaNetNMS=true2020.1181.7—88.657.6————
RetinaNetscheduler=2.5x2021.038158.888.2—————
ATSSBackbone=ResNet-50, #Shot=Full, Secs/Img=0.0512024.0780.3—86.1——59.7——
Crowd-SAMBackbone=ViT-L, #Shot=10, Secs/Img=8.1, multi-crop=true2024.0778.4—85.6——74.8——
FCOSBackbone=ResNet-50, #Shot=Full, Secs/Img=0.0452024.0776.3—82.6——65.5——
DETRcategory=query-based, #Queries=1002022.0375.9————73.274.4—
Crowd-SAMBackbone=ViT-L, #Shot=10, Secs/Img=1.7, multi-crop=false2024.0771.4—83.9——75.1——
DETRNMS=false2020.1166.1——80.6————
TFABackbone=ResNet-101, #Shot=10, Secs/Img=0.0672024.0746.9—57.9——84.3——
De-FRCNBackbone=ResNet-101, #Shot=10, Secs/Img=0.0722024.0746.4—65.5——85.9——
FSCEBackbone=ResNet-101, #Shot=10, Secs/Img=0.0722024.0743—50——84.7——
MatcherBackbone=ViT-L, #Shot=1, Secs/Img=222024.078—23.9——88.9——
COCO modelTraining Data=COCO, Backbone=ResNet-502021.02————73.9———
Dataset-specific (Oracle)Training Data=CrowdHuman training set, Backbone=ResNet-502021.02————80———
EnsembleStrategy=Ensemble, Backbone=ResNet-502021.02————73.9———
Mapillary modelTraining Data=Mapillary, Backbone=ResNet-502021.02————49.3———
Objects365 modelTraining Data=Objects365, Backbone=ResNet-502021.02————71.8———
OpenImages modelTraining Data=OpenImages, Backbone=ResNet-502021.02————66.7———
Partitioned DetectorStrategy=Partitioned, Backbone=ResNet-502021.02————70———
SAMBackbone=ViT-L, #Shot=0, Secs/Img=1.3, multi-crop=false2024.07——65.6—————
SAMBackbone=ViT-L, #Shot=0, Secs/Img=6.7, multi-crop=true2024.07——79.6—————
Unified detector (UniDet)Strategy=Unified (retrained), Backbone=ResNet-502021.02————70.7———