A Closer Look at Benchmarking Self-supervised Pre-training with Image Classification

Authors

Markus Marks (ORCID: https://orcid.org/0000-0001-8016-1637)
Pietro Perona (ORCID: https://orcid.org/0000-0002-7583-5809)
Thijs Defraeye (ORCID: https://orcid.org/0000-0002-9835-5859)
Elijah Cole (ORCID: https://orcid.org/0000-0001-6623-0966)
Neehar Kondapaneni
Manuel Knott (ORCID: https://orcid.org/0000-0002-5447-4549)
Fernando Pérez‐Cruz (ORCID: https://orcid.org/0000-0001-8996-5076)

Institutions

California Institute of Technology (US)
ETH Zurich (CH)
Swiss Data Science Center (CH)
Spectral Labs (United States) (US)
École Polytechnique Fédérale de Lausanne (CH)
Bank for International Settlements (CH)
Swiss Federal Laboratories for Materials Science and Technology (CH)

Publication Details

Journal: International Journal of Computer Vision
Published: 2025-04-27
DOI: https://doi.org/10.1007/s11263-025-02402-w
Citations: 4
Primary Topic: Domain Adaptation and Few-Shot Learning
Type: article
Field-Weighted Citation Impact: 9.92

Funders

Simons Foundation
California Institute of Technology
Eidgenössische Technische Hochschule Zürich
National Institutes of Health

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article

A Closer Look at Benchmarking Self-supervised Pre-training with Image Classification

Markus Marks, Pietro Perona, Thijs Defraeye, Elijah Cole et al.

Apr 27, 2025

4 citations

International Journal of Computer Vision

Domain Adaptation and Few-Shot Learning

9.92

article

A Closer Look at Benchmarking Self-supervised Pre-training with Image Classification

Markus Marks, Pietro Perona, Thijs Defraeye, Elijah Cole, Neehar Kondapaneni, Manuel Knott, Fernando Pérez‐Cruz

April 27, 2025article en

4 citations

Abstract

No abstract available for this paper.

International Journal of Computer VisionVol. 133(8)

California Institute of Technology (US), ETH Zurich (CH), Swiss Data Science Center (CH), Spectral Labs (United States) (US), École Polytechnique Fédérale de Lausanne (CH), Bank for International Settlements (CH), Swiss Federal Laboratories for Materials Science and Technology (CH)

Simons Foundation, California Institute of Technology, Eidgenössische Technische Hochschule Zürich, National Institutes of Health

Reduced inequalities

Openalex Percentile: Top 2%

Domain Adaptation and Few-Shot Learning

9.92

DOI Open Access PDF OpenAlex

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A Closer Look at Benchmarking Self-supervised Pre-training with Image Classification — Markus Marks, Pietro Perona, et al. · International Journal of Computer Vision (2025) | TGRS Research Map | TGRS