ββGated Path Selection Network for Semantic Segmentation
A new approach for improving APSS-like networks for image segmentation.
Atrous Spatial Pyramid Pooling (ASPP) is an architecture that concatenates multiple atrous-convolved features using different dilution rates.
In this paper, authors develop a novel architecture named GPSNet, which aims to densely capture semantic context and to learn adaptive receptive fields, which are flexible to model various geometric deformations.
They designed architecture with multiple branches called SuperNet. The main characteristics are the following:
- it stacks a series of bottlenecked branches which consist of differently tuned dilation convolutions;
- multiple dense connections;
- a new module - Gate Prediction, which produces soft masks;
- improved sampling.
This approach was tested on Cityscapes ΠΈ ADE20K datasets and showed better quality than other ASPP architectures, but still not as good as the current SOTA.
An ablation study shows that all changes introduced in this paper improve the score.
GPS module is lightweight and can be easily used in other models with ASPP architecture.
paper: https://deepai.org/publication/gated-path-selection-network-for-semantic-segmentation
#cv #semantic #segmentation #ASPP
A new approach for improving APSS-like networks for image segmentation.
Atrous Spatial Pyramid Pooling (ASPP) is an architecture that concatenates multiple atrous-convolved features using different dilution rates.
In this paper, authors develop a novel architecture named GPSNet, which aims to densely capture semantic context and to learn adaptive receptive fields, which are flexible to model various geometric deformations.
They designed architecture with multiple branches called SuperNet. The main characteristics are the following:
- it stacks a series of bottlenecked branches which consist of differently tuned dilation convolutions;
- multiple dense connections;
- a new module - Gate Prediction, which produces soft masks;
- improved sampling.
This approach was tested on Cityscapes ΠΈ ADE20K datasets and showed better quality than other ASPP architectures, but still not as good as the current SOTA.
An ablation study shows that all changes introduced in this paper improve the score.
GPS module is lightweight and can be easily used in other models with ASPP architecture.
paper: https://deepai.org/publication/gated-path-selection-network-for-semantic-segmentation
#cv #semantic #segmentation #ASPP
