Vec2Instance: Parameterization for Deep Instance Segmentation

10/06/2020
by   N. Lakmal Deshapriya, et al.
0

Current advances in deep learning is leading to human-level accuracy in computer vision tasks such as object classification, localization, semantic segmentation, and instance segmentation. In this paper, we describe a new deep convolutional neural network architecture called Vec2Instance for instance segmentation. Vec2Instance provides a framework for parametrization of instances, allowing convolutional neural networks to efficiently estimate the complex shapes of instances around their centroids. We demonstrate the feasibility of the proposed architecture with respect to instance segmentation tasks on satellite images, which have a wide range of applications. Moreover, we demonstrate the usefulness of the new method for extracting building foot-prints from satellite images. Total pixel-wise accuracy of our approach is 89%, near the accuracy of the state-of-the-art Mask RCNN (91%). Vec2Instance is an alternative approach to complex instance segmentation pipelines, offering simplicity and intuitiveness. The code developed under this study is available in the Vec2Instance GitHub repository, https://github.com/lakmalnd/Vec2Instance

READ FULL TEXT

page 7

page 9

page 11

research
12/10/2019

SOLO: Segmenting Objects by Locations

We present a new, embarrassingly simple approach to instance segmentatio...
research
04/28/2020

A novel Region of Interest Extraction Layer for Instance Segmentation

Given the wide diffusion of deep neural network architectures for comput...
research
06/15/2022

Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin Eosin-Stained Histological Images

Recently, pruning deep neural networks (DNNs) has received a lot of atte...
research
02/28/2023

Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image Analysis

An unresolved issue in contemporary biomedicine is the overwhelming numb...
research
11/05/2019

Recurrent Instance Segmentation using Sequences of Referring Expressions

The goal of this work is to segment the objects in an image that are ref...
research
01/12/2022

Partial-Attribution Instance Segmentation for Astronomical Source Detection and Deblending

Astronomical source deblending is the process of separating the contribu...
research
07/12/2016

Gland Instance Segmentation by Deep Multichannel Side Supervision

In this paper, we propose a new image instance segmentation method that ...

Please sign up or login with your details

Forgot password? Click here to reset