Table 7 Performance with varying kernel sizes on the dataset of Tanzania.

From: Fine-grained population mapping from coarse census counts and open geodata

Training setting

Kernel size

#params (k)

\(R^2 \uparrow\) [%]

MAE \(\downarrow\)

MAPE \(\downarrow\) [%]

Coarse

\(1 \times 1\) (ours)

34

85.7 ± 0.9

3100 ± 40

21.6 ± 0.2

\(3 \times 3\)

313

83.5 ± 1.3

3700 ± 110

26.6 ± 0.7

\(5 \times 5\)

870

80.9 ± 1.0

3900 ± 100

28.4 ± 0.8

Fine

\(1 \times 1\) (ours)

34

87.6 ± 0.2

2890 ± 20

20.4 ± 0.3

\(3 \times 3\)

313

86.0 ± 2.1

3010 ± 100

20.9 ± 0.5

\(5 \times 5\)

870

86.8 ± 1.0

3030 ± 50

21.5 ± 0.4