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Crowd Counting on WorldExpo'10 (test)

1.45Scene 1 ErrorM-SegNet
0.8285.02659.22513.4235Aug 2, 2017Jan 2, 2019Jun 4, 2020Nov 5, 2021Apr 7, 2023Sep 7, 2024Feb 8, 2026

Evaluation results

MethodLinks
M-SegNet2020.031.4511.7210.2921.155.4710.03
DSSINet2020.031.579.519.4610.352.496.67
ADCrowdNetvariant=DME2018.111.615.81110.93.28.5
ADCrowdNetvariant=AMG-DME2018.111.613.810.783.27.4
ADCrowdNetvariant=AMG-attn-DME2018.111.613.28.710.62.67.3
ADCrowdNetvariant=AMG-bAttn-DME2018.111.714.411.57.937.7
M-SFANet2020.031.8813.2410.077.53.877.32
D-ConvNet2018.111.912.120.78.32.69.1
Cross-scene2017.12229.59.79.33.112.9
DecideNet2017.12213.148.917.44.759.23
DecideNet2018.11213.148.917.44.759.23
Liu et al.2019.06213.18.917.44.89.2
Chen et al.2017.082.155.99.611.33.416.5
Chen et al.2018.022.155.99.611.33.416.5
LGD-OSCC2026.022.1107.57.42.25.8
Chen et al. (2025a)2026.022.210.58.17.72.66.2
Chen et al. (2025b)2026.022.210.17.77.82.46
SANet+SPANetBackbone=SANet, Module=SPANet2019.092.312.37.912.93.27.7
Chen and Wang2026.022.3117.97.62.36.2
OURS-ECAN2018.112.49.48.811.247.2
PGCNet2020.032.512.78.413.73.28.1
IG-CNN2018.112.616.110.1520.27.611.3
SANet2018.112.613.2913.338.2
SaCNN2019.092.613.510.612.53.38.5
SANet2019.092.613.2913.338.2
CSRNet+SPANetBackbone=CSRNet, Module=SPANet2019.092.611.18.913.53.37.9
SA-Net2019.062.613.2913.338.2
Xu et al.2026.022.710.88.18.22.86.5
ACSCP2018.112.814.059.68.12.97.5
CP-CNN2017.082.914.710.510.45.88.86
CP-CNN2018.072.914.710.510.45.88.8
CNN-pixel2017.122.918.614.124.66.913.4
CP-CNN2018.022.914.710.510.45.88.86
CSRNet2018.022.911.58.616.63.48.6
CP-CNN2018.112.914.710.510.45.88.9
CSRNet2018.112.911.58.616.63.48.6
OURS-CAN2018.112.912107.94.37.4
CSRNet2018.112.911.58.616.63.48.6
CP-CNN2019.092.914.710.510.45.88.9
CSRNet2019.092.911.58.616.63.48.6
CP-CNN2019.062.914.710.510.45.88.8
CSR-Net2019.062.911.58.616.63.48.6
LSC-CNN2019.062.911.39.412.34.38
CSRNet2020.032.911.58.616.63.48.6
CAN2020.032.912107.94.37.4
Reddy et al.2026.023.211.28.19.43.87.1
You et al.2026.023.2118.39.13.67
MCNN2017.083.420.612.9138.111.6
MCNN2018.073.420.612.9138.111.6
M-CNN2017.123.420.612.9138.111.6
MCNN2018.023.420.612.9138.111.6
MCNN2018.113.420.612.9138.111.6
MCNN2018.113.420.612.9138.111.6
MCNN2019.093.420.612.9138.111.6
MCNN+SPANetBackbone=MCNN, Module=SPANet2019.093.414.915.112.84.510.1
MCNN2019.063.420.612.9138.111.6
MCNN2020.033.420.612.9138.111.6
Huang et al.2019.094.121.711.9113.510.5
Switching CNNPerspective maps=with perspective2018.074.214.914.218.74.311.2
Switching-CNN2017.084.415.710115.99.4
Switching CNNPerspective maps=sans perspective2018.074.415.710115.99.4
Switching-CNN2017.124.415.710115.99.4
Switching-CNN2018.024.415.710115.99.4
Switch-CNN2018.114.415.710115.99.4
Switching-CNN2018.114.415.710115.99.4
Switch-CNN2019.094.415.710115.99.4
SCNN2019.064.415.710115.99.4
Ranjan et al.2026.024.513.41010.84.98.7
Shang et al.2017.087.815.414.911.85.811.7
Local&Global2017.127.815.415.325.64.111.7
Shang et al.2018.027.815.414.911.85.811.7
Zhang et al.2017.089.814.114.322.23.712.9
Crowd CNN2018.079.814.114.322.23.712.9
Zhang et al.2018.029.814.114.322.23.712.9
Zhang et al.2018.119.814.114.322.23.712.9
Zhang et al.2019.099.814.114.322.23.712.9
Zhang et al.2019.069.814.114.322.23.712.9
ic-CNNapproach=two branch approach2018.071712.39.28.14.710.3
ic-CNN2018.111712.39.28.14.710.3
IC-CNN2019.061712.39.28.14.710.3