Instance Segmentation Modules

Implicit PointRend

Introduced by Cheng et al. in Pointly-Supervised Instance Segmentation

Implicit 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 50.00%
Semantic Segmentation 1 50.00%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories