Table 1 Configurations of the ResNet-50
From: Transfer deep convolutional activation-based features for domain adaptation in sensor networks
Config. | ResNet-50 | Padding |
|---|---|---|
conv_1 | \(\left [\begin {array}{ll}7\times 7, & 64\end {array}\right ]\times 1\), stride 2 | 3 |
3×3, max pooling, stride 2 | 0 | |
conv_2 | \(\left [\begin {array}{ll}1\times 1, & 64 \\ 3\times 3, & 64 \\ 1\times 1, & 256\end {array}\right ]\times 3\), stride 2 | \(\left [\begin {array}{ll} 0 \\ 1 \\ 0 \end {array}\right ]\) |
conv_3 | \(\left [\begin {array}{ll} 1\times 1, & 128 \\ 3\times 3, & 128 \\ 1\times 1, & 512 \end {array}\right ]\times 4\), stride 2 | \(\left [\begin {array}{ll} 0 \\ 1 \\ 0 \end {array}\right ]\) |
conv_4 | \(\left [\begin {array}{ll} 1\times 1, & 256 \\ 3\times 3, & 256 \\ 1\times 1, & 1024 \end {array}\right ]\times 6\), stride 2 | \(\left [\begin {array}{ll} 0 \\ 1 \\ 0 \end {array}\right ]\) |
conv_5 | \(\left [\begin {array}{ll} 1\times 1, & 512 \\ 3\times 3, & 512 \\ 1\times 1, & 2048 \end {array}\right ]\times 3\), stride 2 | \(\left [\begin {array}{ll} 0 \\ 1 \\ 0 \end {array}\right ]\) |
fc | Average pooling, 1000-d, softmax | |