Sl. No. | Level | Name of convolutional layers | Kernel size/No. of filters | Output size |
---|---|---|---|---|
1 | L1 | Conv 1_1 | 3x3/64 | 256x256x64 |
2 | Â | Conv 1_2 | 3x3/64 | 256x256x64 |
3 | Â | Maxpool1 | 2x2/64/stride 2 | 128x128x64 |
4 | L2 | Conv 2_1 | 3x3/128 | 128x128x128 |
5 | Â | Conv 2_2 | 3x3/128 | 128x128x128 |
6 | Â | Maxpool2 | 2x2/128/stride 2 | 64x64x128 |
7 | L3 | Conv 3_1 | 5x5/256 | 64x64x256 |
8 | Â | Conv 3_2 | 5x5/256 | 64x64x256 |
9 | Â | Conv 3_3 | 5x5/256 | 64x64x256 |
10 | Â | Maxpool3 | 2x2/256/stride 2 | 32x32x256 |
11 | L4 | Conv 4_1 | 7x7/512 | 32x32x512 |
12 | Â | Conv 4_2 | 7x7/512 | 32x32x512 |
13 | Â | Conv 4_3 | 7x7/512 | 32x32x512 |