What is Blender?
Blender is a module that generates instance masks based on proposals using rich instance-level information and accurate dense pixel features. It is mainly used for object detection.
How Does Blender Work?
The Blender module takes three inputs: bottom-level bases, selected top-level attentions, and bounding box proposals. The RoIPool of Mask R-CNN crops the bases with each proposal, and then resizes them to a fixed size feature map. The attention size is smaller than the feat
Instance segmentation is a technique used in computer vision to identify objects within an image and separate them from the background. PointRend is a popular module used for instance segmentation that predicts a coarse mask for each object in the image based on region-level context. However, a new modification to PointRend called "Implicit PointRend" has been developed to improve the accuracy and efficiency of this process.
What is Implicit PointRend?
Implicit PointRend generates different p
PointRend is a powerful segmentation tool that has quickly gained popularity among machine learning enthusiasts. It is a module that allows for high-quality image segmentation by treating segmentation as an image rendering problem. The module uses a subdivision strategy to select critical points at which to compute labels, making it more efficient than direct, dense computation. This article aims to explain PointRend and how it can be incorporated into popular meta-architectures for both instanc
Introducing PolarMask: A Revolutionary Object Detection and Instance Segmentation Method
Object detection and instance segmentation are two of the most important tasks in computer vision. However, these two tasks are typically handled separately, and require different approaches for success. This is where PolarMask comes in. PolarMask is a single-shot instance segmentation method that unifies object detection and instance segmentation in a highly efficient and effective way.
What is PolarMask