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Out-of-distribution evaluations of channel agnostic masked autoencoders in fluorescence microscopy

Out-of-distribution evaluations of channel agnostic masked autoencoders in fluorescence microscopy

24 March 2025
Christian John Hurry
Jinjie Zhang
Olubukola Ishola
Emma Slade
Cuong Q. Nguyen
    OODOODD
ArXiv (abs)PDFHTML

Papers citing "Out-of-distribution evaluations of channel agnostic masked autoencoders in fluorescence microscopy"

9 / 9 papers shown
Title
Weakly supervised cross-modal learning in high-content screening
Weakly supervised cross-modal learning in high-content screening
Gabriel Watkinson
Ethan O. Cohen
Nicolas Bourriez
Ihab Bendidi
Guillaume Bollot
Auguste Genovesio
63
4
0
08 Nov 2023
Virchow: A Million-Slide Digital Pathology Foundation Model
Virchow: A Million-Slide Digital Pathology Foundation Model
Eugene Vorontsov
Alican Bozkurt
Adam Casson
George Shaikovski
Michal Zelechowski
...
Razik Yousfi
Christopher Kanan
David Klimstra
B. Rothrock
Thomas J. Fuchs
MedIm
84
90
0
14 Sep 2023
Contextual Vision Transformers for Robust Representation Learning
Contextual Vision Transformers for Robust Representation Learning
Yu Bao
Theofanis Karaletsos
ViT
38
14
0
30 May 2023
Molecule-Morphology Contrastive Pretraining for Transferable Molecular
  Representation
Molecule-Morphology Contrastive Pretraining for Transferable Molecular Representation
Cuong Q. Nguyen
Dante A. Pertusi
K. Branson
AI4CE
37
12
0
27 Apr 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
477
7,819
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
719
6,127
0
29 Apr 2021
RoFormer: Enhanced Transformer with Rotary Position Embedding
RoFormer: Enhanced Transformer with Rotary Position Embedding
Jianlin Su
Yu Lu
Shengfeng Pan
Ahmed Murtadha
Bo Wen
Yunfeng Liu
288
2,521
0
20 Apr 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
670
41,430
0
22 Oct 2020
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
389
13,145
0
12 Mar 2015
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