Convolutional Neural Networks
SCARLET
Introduced by Chu et al. in SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture SearchSCARLET is a type of convolutional neural architecture learnt by the SCARLET-NAS neural architecture search method. The three variants are SCARLET-A, SCARLET-B and SCARLET-C. The basic building block is MBConvs from MobileNetV2. Squeeze-and-excitation layers are also experimented with.
Source: SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search
Papers
| Paper | Code | Results | Date | Stars |
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Tasks
| Task | Papers | Share |
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| Management | 1 | 33.33% |
| Cultural Vocal Bursts Intensity Prediction | 1 | 33.33% |
| Image Classification | 1 | 33.33% |
Usage Over Time
Components
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Dense Connections
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Inverted Residual Block
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Residual Connection
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