Coping with change: Learning invariant and minimum sufficient representations for fine-grained visual categorization-Reference-Cited by-同舟云学术

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Coping with change: Learning invariant and minimum sufficient representations for fine-grained visual categorization

Published:2023-12 Issue: Volume:237 Page:103837
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Ye Shuo^ORCID,Yu Shujian,Hou Wenjin,Wang Yu,You Xinge

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference83 articles.

1. Emergence of invariance and disentanglement in deep representations;Achille;J. Mach. Learn. Res.,2018

2. Invariance principle meets information bottleneck for out-of-distribution generalization;Ahuja;Neural Inf. Process. Syst.,2021

3. Invariant risk minimization games;Ahuja,2020

4. Invariant risk minimization;Arjovsky,2019

5. Infinitely divisible matrices;Bhatia;Amer. Math. Monthly,2006

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