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Table 1 EffcientNet baseline model architecture

From: A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric

\(stage_{i}\)

\(F_{i}\)

\(H_{i} \times W_{i}\)

C i

\(L_{i}\)

1

Conv 3\(\times\)3

224\(\times\)224

32

1

2

MBConv1, k3\(\times\)3

112\(\times\)112

16

1

3

MBConv6, k3\(\times\)3

112\(\times\)112

24

2

4

MBConv6, k5\(\times\)5

56\(\times\)56

40

2

5

MBConv6, k3\(\times\)3

28\(\times\)28

80

3

6

MBConv6, k5\(\times\)5

14\(\times\)14

112

3

7

MBConv6, k5\(\times\)5

14\(\times\)14

192

4

8

MBConv6, k3\(\times\)3

7\(\times\)7

320

1

9

Conv 1\(\times\)1 & Pooling & FC

7\(\times\)7

1,280

1