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Object Counting on PASCAL VOC Count 2007 (test)

0.29mRMSEILC supervised approach
-1.00647.744316.49525.2457Apr 12, 2016Dec 2, 2017Jul 24, 2019Mar 14, 2021Nov 3, 2022Jun 24, 2024Feb 13, 2026

Evaluation results

MethodLinks
ILC supervised approachSupervision=ILC2019.030.291.140.170.61—
LC-ResFCNevaluation_protocol=full test set2018.070.311.20.170.61—
LC-ResFCNSupervision=PL2019.030.311.20.170.61—
LC-PSPNetevaluation_protocol=full test set2018.070.351.320.20.7—
LC-PSPNetSupervision=PL2019.030.351.320.20.7—
seq-subFine-tuned=true, Spatial Configuration=3x32016.040.421.650.210.68—
enscomponents=glance-noft-2L, aso-sub-ft-1L-3x3, seq-sub-ft-3x32016.040.421.680.20.42—
Aso-sub-ft-3 x3evaluation_protocol=mean of ten random samples2018.070.421.650.210.68—
seq-subfine-tuning=true, spatial grid=3 x 32016.040.421.650.210.68—
ensensemble_components=glance-noft-2L, aso-sub-ft-1L-3x3, seq-sub-ft-3x32016.040.421.680.20.65—
Seq-sub-ft-3x3Supervision=BB2019.030.421.650.210.68—
ensSupervision=BB2019.030.421.680.20.65—
aso-subFine-tuned=true, Hidden Layers (L)=1L, Spatial Configuration=3x32016.040.431.650.220.68—
aso-subfine-tuning=true, hidden layers=1, spatial grid=3 x 32016.040.431.650.220.68—
Aso-sub-ft-3x3Supervision=BB2019.030.431.650.220.68—
detect2016.040.51.920.260.85—
glanceFine-tuned=false, Hidden Layers (L)=2L2016.040.51.830.270.73—
Glance-noft-2Levaluation_protocol=mean of ten random samples2018.070.51.830.270.73—
Faster-RCNNevaluation_protocol=mean of ten random samples2018.070.51.920.260.85—
detecttype=detection-based baseline2016.040.51.920.260.85—
glancefine-tuning=false, hidden layers=22016.040.51.830.270.73—
Fast-RCNNSupervision=BB2019.030.51.920.260.85—
glance-noft-2LSupervision=IC2019.030.51.830.270.73—
glanceFeatures=SOS, Hidden Layers (L)=2L2016.040.511.870.290.75—
glancefeatures=SOS [46], hidden layers=22016.040.511.870.290.75—
gt-class2016.040.552.120.240.88—
gt-classbaseline=oracle category label2016.040.552.120.240.88—
category-mean2016.040.641.60.30.45—
category-meanbaseline=predict per-category mean2016.040.641.60.30.45—
mean2016.040.651.810.310.52—
meanbaseline=predict global mean2016.040.651.810.310.52—
always-02016.040.661.960.280.59—
always-0baseline=always predict 02016.040.661.960.280.59—
always-12016.041.140.960.980.17—
always-1baseline=always predict 12016.041.140.960.980.17—
WS-COCSupervision=image-level2026.021.4———0.9
CountGDSupervision=point-level2026.0221.7———8.7
T2ICountSupervision=point-level2026.0223.5———9.9
VLCounterSupervision=point-level2026.0228.9———11.3
CLIP-CountSupervision=point-level2026.0232.7———12.5