Instance Segmentation Models
Mask Scoring R-CNN
Introduced by Huang et al. in Mask Scoring R-CNNMask Scoring R-CNN is a Mask RCNN with MaskIoU Head, which takes the instance feature and the predicted mask together as input, and predicts the IoU between input mask and ground truth mask.
Source: Mask Scoring R-CNN
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| General Classification | 1 | 33.33% |
| Instance Segmentation | 1 | 33.33% |
| Semantic Segmentation | 1 | 33.33% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
Convolution
|
Convolutions | |
Max Pooling
|
Pooling Operations | |
RoIAlign
|
RoI Feature Extractors | |
RPN
|
Region Proposal |
