Deep Representation Learning for Domain Adaptation of Semantic Image Segmentation

arXiv: Computer Vision and Pattern Recognition, Volume abs/1805.04141, 2018.

Cited by: 0|Views9
EI

Abstract:

Deep Convolutional Neural Networks have pushed the state-of-the art for semantic segmentation provided that a large amount of images together with pixel-wise annotations is available. Data collection is expensive and a solution to alleviate it is to use transfer learning. This reduces the amount of annotated data required for the network ...More

Code:

Data:

Get fulltext within 24h
Bibtex
Your rating :
0

 

Tags
Comments