Instance Segmentation Modules
Implicit PointRend
Introduced by Cheng et al. in Pointly-Supervised Instance SegmentationImplicit PointRend is a modification to the PointRend module for instance segmentation. Instead of a coarse mask prediction used in PointRend to provide region-level context to distinguish objects, for each object Implicit PointRend generates different parameters for a function that makes the final pointwise mask prediction. The new model is more straightforward than PointRend: (1) it does not require an importance point sampling during training and (2) it uses a single point-level mask loss instead of two mask losses. Implicit PointRend can be trained directly with point supervision without any intermediate prediction interpolation steps.
Source: Pointly-Supervised Instance Segmentation
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Instance Segmentation | 1 | 33.33% |
| Semantic Segmentation | 1 | 33.33% |
| Weakly-supervised instance segmentation | 1 | 33.33% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
