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Top-Tuning: a study on transfer learning for an efficient alternative to
  fine tuning for image classification with fast kernel methods

Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods

16 September 2022
P. D. Alfano
Vito Paolo Pastore
Lorenzo Rosasco
Francesca Odone
ArXivPDFHTML

Papers citing "Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods"

3 / 3 papers shown
Title
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
166
684
0
22 Apr 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,471
0
17 Apr 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,237
0
25 Aug 2016
1