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Dynamic Scale Inference by Entropy Minimization

Dynamic Scale Inference by Entropy Minimization

8 August 2019
Dequan Wang
Evan Shelhamer
Bruno A. Olshausen
Trevor Darrell
ArXivPDFHTML

Papers citing "Dynamic Scale Inference by Entropy Minimization"

3 / 3 papers shown
Title
Resolution learning in deep convolutional networks using scale-space
  theory
Resolution learning in deep convolutional networks using scale-space theory
Silvia L.Pintea
Nergis Tomen
Stanley F. Goes
Marco Loog
J. C. V. Gemert
SupR
SSL
22
37
0
07 Jun 2021
Deformable Kernels: Adapting Effective Receptive Fields for Object
  Deformation
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Hang Gao
Xizhou Zhu
Steve Lin
Jifeng Dai
13
64
0
07 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
252
11,677
0
09 Mar 2017
1