On Generalizing Beyond Domains in Cross-Domain Continual Learning-Reference-Cited by-同舟云学术

On Generalizing Beyond Domains in Cross-Domain Continual Learning

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Simon Christian¹,Faraki Masoud¹,Tsai Yi-Hsuan²,Yu Xiang¹,Schulter Samuel¹,Suh Yumin¹,Harandi Mehrtash³,Chandraker Manmohan⁴

Affiliation:

1. The Australian National University

2. Phiar Technologies

3. Monash University

4. NEC Labs America

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879030.pdf?arnumber=9879030

Reference40 articles.

1. Domain-invariant projection learning for zero-shot recognition;zhao;Proceedings of the 32Nd International Conference on Neural Information Processing Systems NIPS'18,0

2. Adaptive risk minimization: A meta-learning approach for tackling group shift;zhang;CoRR,2020

3. Three scenarios for continual learning;van de ven;ArXiv Preprint,2019

4. Adaptive Subspaces for Few-Shot Learning

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