Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN

03/03/2020
by   Hao Wu, et al.
23

This paper proposes a novel automatically generating image masks method for the state-of-the-art Mask R-CNN deep learning method. The Mask R-CNN method achieves the best results in object detection until now, however, it is very time-consuming and laborious to get the object Masks for training, the proposed method is composed by a two-stage design, to automatically generating image masks, the first stage implements a fully convolutional networks (FCN) based segmentation network, the second stage network, a Mask R-CNN based object detection network, which is trained on the object image masks from FCN output, the original input image, and additional label information. Through experimentation, our proposed method can obtain the image masks automatically to train Mask R-CNN, and it can achieve very high classification accuracy with an over 90

READ FULL TEXT

page 7

page 9

page 10

page 11

research
05/20/2016

R-FCN: Object Detection via Region-based Fully Convolutional Networks

We present region-based, fully convolutional networks for accurate and e...
research
02/15/2022

SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations

Recent state-of-the-art one-stage instance segmentation model SOLO divid...
research
07/24/2018

Face Mask Extraction in Video Sequence

Inspired by the recent development of deep network-based methods in sema...
research
09/10/2021

Automatic Displacement and Vibration Measurement in Laboratory Experiments with A Deep Learning Method

This paper proposes a pipeline to automatically track and measure displa...
research
05/02/2018

Lidar Cloud Detection with Fully Convolutional Networks

In this contribution, we present a novel approach for segmenting laser r...
research
12/30/2016

Automatic labeling of molecular biomarkers of whole slide immunohistochemistry images using fully convolutional networks

This paper addresses the problem of quantifying biomarkers in multi-stai...
research
11/15/2019

Explanatory Masks for Neural Network Interpretability

Neural network interpretability is a vital component for applications ac...

Please sign up or login with your details

Forgot password? Click here to reset