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Shape Adaptor: A Learnable Resizing Module

Shape Adaptor: A Learnable Resizing Module

3 August 2020
Shikun Liu
Zhe-nan Lin
Yilin Wang
Jianming Zhang
Federico Perazzi
Edward Johns
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Papers citing "Shape Adaptor: A Learnable Resizing Module"

4 / 4 papers shown
Title
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture
Mehraveh Javan
Matthew Toews
M. Pedersoli
31
1
0
21 Jun 2023
Receptive Field Refinement for Convolutional Neural Networks Reliably
  Improves Predictive Performance
Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance
Mats L. Richter
C. Pal
27
3
0
26 Nov 2022
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
303
10,233
0
16 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,330
0
05 Nov 2016
1