Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation-Reference-Cited by-同舟云学术

Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation

Published:2022-01 Issue: Volume: Page:
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Container-title:2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Cardace Adriano¹,De Luigi Luca¹,Zama Ramirez Pierluigi¹,Salti Samuele¹,Di Stefano Luigi¹

Affiliation:

1. University of Bologna,Department of Computer Science and Engineering (DISI),Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9706406/9706408/09707096.pdf?arnumber=9707096

Reference73 articles.

1. Confidence Regularized Self-Training

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

3. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

4. Unsupervised Learning of Depth and Ego-Motion from Video

5. Playing for Benchmarks

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