Self-supervised Multi-view Disentanglement for Expansion of Visual Collections-Reference-Cited by-同舟云学术

Self-supervised Multi-view Disentanglement for Expansion of Visual Collections

Published:2023-02-27 Issue: Volume: Page:
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Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
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Author:

Jain Nihal¹^ORCID,Vaddamanu Praneetha¹^ORCID,Maheshwari Paridhi²^ORCID,Vinay Vishwa³^ORCID,Kulkarni Kuldeep³^ORCID

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

2. Stanford University, Stanford, CA, USA

3. Adobe Research, Bangalore, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570425

Reference33 articles.

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3. Adrien Bardes , Jean Ponce , and Yann LeCun . 2022 . VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. In International Conference on Learning Representations. Adrien Bardes, Jean Ponce, and Yann LeCun. 2022. VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. In International Conference on Learning Representations.

4. Less is more

5. Novelty and diversity in information retrieval evaluation

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