Convolutional Neural Networks
Hybrid-deconvolution
Introduced by Wu et al. in Predicting galaxy spectra from images with hybrid convolutional neural networksA resnet-like architecture with deconvolution feature normalization (Ye et al. 2020, ICLR) layers in the first few layers for sparse low-level feature identification, and batch normalization layers in the later layers.
Source: Predicting galaxy spectra from images with hybrid convolutional neural networks
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 |
