Convolutions
Depthwise Dilated Separable Convolution
Introduced by Mehta et al. in ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural NetworkA Depthwise Dilated Separable Convolution is a type of convolution that combines depthwise separability with the use of dilated convolutions.
Source: ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| General Classification | 2 | 15.38% |
| Classification | 1 | 7.69% |
| Document Classification | 1 | 7.69% |
| Document Image Classification | 1 | 7.69% |
| Management | 1 | 7.69% |
| Text Classification | 1 | 7.69% |
| Image Classification | 1 | 7.69% |
| Language Modelling | 1 | 7.69% |
| Object Detection | 1 | 7.69% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
Depthwise Separable Convolution
|
Convolutions | |
Dilated Convolution
|
Convolutions |
