Image Model Blocks
NVAE Generative Residual Cell
Introduced by Vahdat et al. in NVAE: A Deep Hierarchical Variational AutoencoderThe NVAE Generative Residual Cell is a skip connection block used as part of the NVAE architecture for the generator. The residual cell expands the number of channels $E$ times before applying the depthwise separable convolution, and then maps it back to $C$ channels. The design motivation was to help model long-range correlations in the data by increasing the receptive field of the network, which explains the expanding path but also the use of depthwise convolutions to keep a handle on parameter count.
Source: NVAE: A Deep Hierarchical Variational Autoencoder
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Image Generation | 2 | 33.33% |
| Adversarial Attack | 1 | 16.67% |
| Anomaly Detection | 1 | 16.67% |
| Time Series Analysis | 1 | 16.67% |
| Time Series Anomaly Detection | 1 | 16.67% |
1x1 Convolution
Batch Normalization
Depthwise Separable Convolution
Residual Connection
Squeeze-and-Excitation Block
Swish
