Making a Case for 3D Convolutions for Object Segmentation in Videos

Sabarinath Mahadevan
Sabarinath Mahadevan
Ali Athar
Ali Athar
Sebastian Hennen
Sebastian Hennen

british machine vision conference, 2020.

Cited by: 0|Views16

Abstract:

The task of object segmentation in videos is usually accomplished by processing appearance and motion information separately using standard 2D convolutional networks, followed by a learned fusion of the two sources of information. On the other hand, 3D convolutional networks have been successfully applied for video classification tasks,...More

Code:

Data:

ZH
Full Text
Bibtex
Your rating :
0

 

Tags
Comments