Semantic Segmentation Models
LiteSeg
Introduced by Emara et al. in LiteSeg: A Novel Lightweight ConvNet for Semantic SegmentationLiteSeg is a lightweight architecture for semantic segmentation that uses a deeper version of Atrous Spatial Pyramid Pooling module (ASPP) and applies short and long residual connections, and depthwise separable convolution, resulting in a faster, more efficient model.
Source: LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Computational Efficiency | 1 | 25.00% |
| Image Segmentation | 1 | 25.00% |
| Real-Time Semantic Segmentation | 1 | 25.00% |
| Semantic Segmentation | 1 | 25.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
1x1 Convolution
|
Convolutions | |
Convolution
|
Convolutions | |
DASPP
|
Semantic Segmentation Modules |
