| layer | resnet18 | resnet34 | resnet50 | resnet101 |
|---|---|---|---|---|
| conv1 | 7 | 7 | 7 | 7 |
| maxpool | 11 | 11 | 11 | 11 |
| layer1 | 43 | 59 | 35 | 35 |
| layer2 | 99 | 179 | 91 | 91 |
| layer3 | 211 | 547 | 267 | 811 |
| layer4 | 435 | 899 | 427 | 971 |
This is calculated on ResNet-V2 which does a stride 2 convolution on 3x3 kernel.
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ResNet Receptive Field Size
@kriskorrel-cw Stride 2 on Conv1x1 is referred to ResNet-v1. And Stride 2 on Conv3x3 is V2 which performs better than v1.
Actually, there are plenty of versions of resnet, i.e. https://arxiv.org/abs/1812.01187 FYI.
Ah I see. Yeah I was basing my calculations on the original version. I don't know what the RF is for other versions.
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@kriskorrel-cw Stride 2 on Conv1x1 is referred to ResNet-v1. And Stride 2 on Conv3x3 is V2 which performs better than v1.
Actually, there are plenty of versions of resnet, i.e. https://arxiv.org/abs/1812.01187 FYI.