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Models/LC-ResFCN

LC-ResFCN

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
m-reIRMSE-nz· 2018-07-25
0.61
SOTA
Where are the Blobs: Counting by Localization with Point Supervision arXiv:1807.09856
Object CountingonPascal VOC 2007 count-test
m-relRMSE· 2018-07-25
0.17
SOTA
Where are the Blobs: Counting by Localization with Point Supervision arXiv:1807.09856
Object CountingonPascal VOC 2007 count-test
mRMSE· 2018-07-25
0.31
best: 0.0023 (Omnicount)
SOTA
Where are the Blobs: Counting by Localization with Point Supervision arXiv:1807.09856
Object CountingonPascal VOC 2007 count-test
mRMSE-nz· 2018-07-25
1.2
best: 0.009 (Omnicount)
SOTA
Where are the Blobs: Counting by Localization with Point Supervision arXiv:1807.09856
Object CountingonCOCO count-test
m-reIRMSE· 2018-07-25
0.19
best: 0.18 (ens)
Where are the Blobs: Counting by Localization with Point Supervision arXiv:1807.09856
Object CountingonCOCO count-test
m-reIRMSE-nz· 2018-07-25
0.99
best: 0.81 (ens)
Where are the Blobs: Counting by Localization with Point Supervision arXiv:1807.09856
Object CountingonCOCO count-test
mRMSE· 2018-07-25
0.38
best: 0.34 (Supervised Density Map)
Where are the Blobs: Counting by Localization with Point Supervision arXiv:1807.09856
Object CountingonCOCO count-test
mRMSE-nz· 2018-07-25
2.2
best: 1.89 (Supervised Density Map)
Where are the Blobs: Counting by Localization with Point Supervision arXiv:1807.09856