Instance Segmentation Models
CenterMask
Introduced by Lee et al. in CenterMask : Real-Time Anchor-Free Instance SegmentationCenterMask is an anchor-free instance segmentation method that adds a novel spatial attention-guided mask (SAG-Mask) branch to anchor-free one stage object detector (FCOS) in the same vein with Mask R-CNN. Plugged into the FCOS object detector, the SAG-Mask branch predicts a segmentation mask on each detected box with the spatial attention map that helps to focus on informative pixels and suppress noise.
Source: CenterMask : Real-Time Anchor-Free Instance Segmentation
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Instance Segmentation | 3 | 23.08% |
| Semantic Segmentation | 3 | 23.08% |
| Pseudo Label | 1 | 7.69% |
| Semi-Supervised Instance Segmentation | 1 | 7.69% |
| Defect Detection | 1 | 7.69% |
| Object Detection | 1 | 7.69% |
| Panoptic Segmentation | 1 | 7.69% |
| Real-time Instance Segmentation | 1 | 7.69% |
| Real-Time Object Detection | 1 | 7.69% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
FCOS
|
Object Detection Models | |
FPN
|
Feature Extractors | |
ReLU
|
Activation Functions | |
RoIAlign
|
RoI Feature Extractors | |
Spatial Attention-Guided Mask
|
Mask Branches |
