Research Article
An OCaNet Model Based on Octave Convolution and Attention Mechanism for Iris Recognition
Table 1
Related parameters of different layers.
| Network | Layer name | Layer type | Related parameters |
| — | Conv1 | Conv2D | 7 × 7, 64, stride 2 | — | Pool1 | MaxPool2d | 3 × 3, 64, stride 2 | OCT module | OCT block 1 | Convolution | | | OCT block 2 | Convolution | | | OCT block 3 | Convolution | | | OCT block 4 | Convolution | | | Pool3 | AdaptiveAvgPool2d | 1, 1 | Attention module | EA_1 | Attention | × 4 | | Attention_2 | Attention | × 4 | | Attention_3 | Attention | × 4 | | Attention_4 | Attention | × 4 | | Pool2 | AdaptiveAvgPool2d | 1, 1 | — | FC | Inner product | — |
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