Pixel and feature level based domain adaptation for object detection in autonomous driving-Reference-Cited by-同舟云学术

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Pixel and feature level based domain adaptation for object detection in autonomous driving

Published:2019-11 Issue: Volume:367 Page:31-38
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Shan Yuhu,Lu Wen Feng^ORCID,Chew Chee Meng

Funder

National University of Singapore

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference47 articles.

1. ImageNet classification with deep convolutional neural networks;Krizhevsky,2012

2. The cityscapes dataset for semantic urban scene understanding;Cordts,2016

3. Analysis of representations for domain adaptation;Ben-David,2007

4. A theory of learning from different domains;Ben-David;Mach. Learn.,2010

5. Domain adaptation for object recognition: an unsupervised approach;Gopalan,2011

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