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Models/MCNN

MCNN

Reported on 12 benchmarks across 1 task · 1 paper · 3 SOTA

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

Computer Vision12 results

CrowdsonDLR-ACD
MAE· 2019-09-27
1989.7
best: 833.3 (Liu et al)
SOTA
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery arXiv:1909.12743
CrowdsonDLR-ACD
MNAE· 2019-09-27
0.87
SOTA
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery arXiv:1909.12743
CrowdsonDLR-ACD
RMSE· 2019-09-27
3016.3
best: 1085.9 (Liu et al)
SOTA
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery arXiv:1909.12743
CrowdsonDLR-ACD
F1-score· 2019-09-27
0.39
best: 0.49 (MRCNet (ours))
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery arXiv:1909.12743
CrowdsonDLR-ACD
Precision· 2019-09-27
0.43
best: 45 (Liu et al)
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery arXiv:1909.12743
CrowdsonDLR-ACD
Recall· 2019-09-27
0.41
best: 0.52 (ic-CNN)
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery arXiv:1909.12743
CrowdsonShanghaiTech B
MAE
26.4
best: 5.51 (EBC-ZIP-B)
CrowdsonUCF-QNRF
MAE
277
best: 69.46 (EBC-ZIP-B)
CrowdsonShanghaiTech A
MAE
110.2
best: 47.81 (EBC-ZIP-B)
CrowdsonVenice
MAE
145.4
best: 20.5 (ECAN)
CrowdsonUCF CC 50
MAE
377.6
best: 154.8 (APGCC)
CrowdsonWorldExpo’10
Average MAE
11.6
best: 7.2 (ECAN)