Self-Supervised Learning of Domain Invariant Features for Depth Estimation-Reference-Cited by-同舟云学术

Self-Supervised Learning of Domain Invariant Features for Depth Estimation

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:

Akada Hiroyasu¹,Bhat Shariq Farooq¹,Alhashim Ibraheem²,Wonka Peter¹

Affiliation:

1. KAUST

2. Saudi Data and Artificial Intelligence Authority (SDAIA),National Center for Artificial Intelligence (NCAI)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9706406/9706408/09706979.pdf?arnumber=9706979

Reference56 articles.

1. Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

2. Sharingan: Combining synthetic and real data for unsupervised geometry estimation;pnvr;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2020

3. Constructing self-motivated pyramid curriculums for crossdomain semantic segmentation: A non-adversarial approach;lian;Proceedings of the IEEE/CVF International Conference on Computer Vision,2019

4. Content-Consistent Matching for Domain Adaptive Semantic Segmentation

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