Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation-Reference-Cited by-同舟云学术

Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Saporta Antoine¹,Vu Tuan-Hung²,Cord Matthieu¹,Perez Patrick²

Affiliation:

1. Sorbonne University

2. Valeo.ai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09709929.pdf?arnumber=9709929

Reference31 articles.

1. Unsupervised domain adaptation for semantic segmentation via class-balanced self-training;zou;Proceedings of the European Conference on Computer Vision (ECCV),2018

2. Multi-source do-main adaptation for semantic segmentation;zhao;Advances in Neural IInformation Processing Systems,2019

3. Cycada: Cycle-consistent adversarial domain adaptation;hoffman,2018

4. FCNs in the wild: Pixel-level adversarial and constraint-based adaptation;hoffman,2016

5. Multi-Target Domain Adaptation with Collaborative Consistency Learning

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