Domain adaptation and continual learning in semantic segmentation-Reference-Cited by-同舟云学术

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Domain adaptation and continual learning in semantic segmentation

Published:2022 Issue: Volume: Page:275-303
ISSN:
Container-title:Advanced Methods and Deep Learning in Computer Vision
language:
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Author:

Michieli Umberto,Toldo Marco,Zanuttigh Pietro

Publisher

Elsevier

Reference101 articles.

1. Life-long disentangled representation learning with cross-domain latent homologies;Achille,2018

2. Latent space regularization for unsupervised domain adaptation in semantic segmentation;Barbato,2021

3. Representation learning: a review and new perspectives;Bengio,2013

4. Unsupervised domain adaptation for semantic segmentation of urban scenes;Biasetton,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unsupervised Continual Semantic Adaptation Through Neural Rendering;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

2. Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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