Feb 9, 2021 · The model consisting of MaskBlock is called MaskNet in this paper and two new MaskNet models are proposed to show the effectiveness of MaskBlock ...

Binary mask prediction using MaskNet: In this work, MaskNet estimates inliers (shown on the right in blue) for a given pair of point clouds (shown on the left).

MaskBlock combines the layer normalization, instance-guided mask, and feed-forward layer and it is a basic building block to be used to design new ranking model.

Therefore, this paper presents a fully-convolutional neural network that identifies which points in one point cloud are most similar (inliers) to the points in ...

MaskNet finds a Boolean vector mask that only retains inlier points from point cloud in red which most closely approximate the shape of the point cloud in green ...

(1) We propose an inlier/outlier identification network, MaskNet++, for two point clouds describing the same geometry of an object or scene. It does not require ...

Apr 1, 2022 · MaskNet opened up a new path to estimate inliers, but it is limited to identify inliers/outliers of one point cloud, and it requires a point ...

This project is about building a system which can detect whether a person is wearing mask or not on an image or live webcam video using Deep Learning and ...

MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask · Figures and Tables · Topics · Ask This Paper · 54 Citations ...