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Models/Supervised Density Map

Supervised Density Map

Reported on 8 benchmarks across 1 task · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision8 results

Object CountingonPascal VOC 2007 count-test
mRMSE· 2019-03-06
0.29
best: 0.0023 (Omnicount)
SOTA
Object Counting and Instance Segmentation with Image-level Supervision arXiv:1903.02494
Object CountingonPascal VOC 2007 count-test
mRMSE-nz· 2019-03-06
1.14
best: 0.009 (Omnicount)
SOTA
Object Counting and Instance Segmentation with Image-level Supervision arXiv:1903.02494
Object CountingonCOCO count-test
mRMSE· 2019-03-06
0.34
SOTA
Object Counting and Instance Segmentation with Image-level Supervision arXiv:1903.02494
Object CountingonCOCO count-test
mRMSE-nz· 2019-03-06
1.89
SOTA
Object Counting and Instance Segmentation with Image-level Supervision arXiv:1903.02494
Object CountingonPascal VOC 2007 count-test
m-reIRMSE-nz· 2019-03-06
0.61
Object Counting and Instance Segmentation with Image-level Supervision arXiv:1903.02494
Object CountingonPascal VOC 2007 count-test
m-relRMSE· 2019-03-06
0.17
Object Counting and Instance Segmentation with Image-level Supervision arXiv:1903.02494
Object CountingonCOCO count-test
m-reIRMSE· 2019-03-06
0.18
Object Counting and Instance Segmentation with Image-level Supervision arXiv:1903.02494
Object CountingonCOCO count-test
m-reIRMSE-nz· 2019-03-06
0.84
best: 0.81 (ens)
Object Counting and Instance Segmentation with Image-level Supervision arXiv:1903.02494