Convolutional Neural Networks
GreedyNAS-C
Introduced by You et al. in GreedyNAS: Towards Fast One-Shot NAS with Greedy SupernetGreedyNAS-C 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 Supernet
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
