GreedyNAS-B is a convolutional neural network discovered using the GreedyNAS neural architecture search method. The basic building blocks used are inverted residual blocks (from MobileNetV2) and squeeze-and-excitation blocks.
Source: GreedyNAS: Towards Fast One-Shot NAS with Greedy SupernetPaper | Code | Results | Date | Stars |
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Component | Type |
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Inverted Residual Block
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Skip Connection Blocks | |
Squeeze-and-Excitation Block
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Image Model Blocks |