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CytoImageNet: A large-scale pretraining dataset for bioimage transfer
  learning

CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning

23 November 2021
Stanley Bryan Z. Hua
Alex X. Lu
Alan M. Moses
    CLIP
    VLM
ArXivPDFHTML

Papers citing "CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning"

6 / 6 papers shown
Title
The Cells Out of Sample (COOS) dataset and benchmarks for measuring
  out-of-sample generalization of image classifiers
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers
Alex X. Lu
Amy X. Lu
W. Schormann
Marzyeh Ghassemi
D. Andrews
Alan M. Moses
OOD
36
20
0
17 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
133
18,106
0
28 May 2019
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OOD
MLT
155
1,327
0
23 May 2018
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OOD
SSeg
VLM
SSL
102
676
0
30 Aug 2016
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
151
4,939
0
23 Mar 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
178
4,949
0
06 Oct 2013
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