Cascaded ConvLSTMs Using Semantically-Coherent Data Synthesis for Video Object Segmentation

Cascaded ConvLSTMs Using Semantically-Coherent Data Synthesis for Video Object Segmentation

This paper proposes a simple yet effective and efficient method for video object segmentation. Most existing methods take the color image and the optical flow as input for discovering the salient object in terms of appearance and motion. We instead leverage a ResNet backbone as an appearance-charact...

Full description

Bibliographic Details
Main Authors: Jia Zheng, Weixin Luo, Zhixin Piao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional long short-term memory units
convolutional neural networks
video object segmentation
Online Access:https://ieeexplore.ieee.org/document/8835122/

Internet

https://ieeexplore.ieee.org/document/8835122/

Similar Items