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Exemplar Normalization for Learning Deep Representation
v1v2 (latest)

Exemplar Normalization for Learning Deep Representation

Computer Vision and Pattern Recognition (CVPR), 2020
19 March 2020
Ruimao Zhang
Zhanglin Peng
Lingyun Wu
Zhuguo Li
Ping Luo
    OOD
ArXiv (abs)PDFHTML

Papers citing "Exemplar Normalization for Learning Deep Representation"

9 / 9 papers shown
Imagined Autocurricula
Imagined Autocurricula
Ahmet H. Güzel
Matthew Jackson
Jarek Liesen
Tim Rocktaschel
Jakob Foerster
Ilija Bogunovic
Jack Parker-Holder
311
2
0
11 Sep 2025
Weight Conditioning for Smooth Optimization of Neural Networks
Weight Conditioning for Smooth Optimization of Neural NetworksEuropean Conference on Computer Vision (ECCV), 2024
Hemanth Saratchandran
Thomas X. Wang
Simon Lucey
377
9
0
05 Sep 2024
Logit Normalization for Long-tail Object Detection
Logit Normalization for Long-tail Object DetectionInternational Journal of Computer Vision (IJCV), 2022
Liang Zhao
Yao Teng
Limin Wang
279
20
0
31 Mar 2022
Delving into the Estimation Shift of Batch Normalization in a Network
Delving into the Estimation Shift of Batch Normalization in a NetworkComputer Vision and Pattern Recognition (CVPR), 2022
Lei Huang
Yi Zhou
Tian Wang
Jie Luo
Xianglong Liu
BDL
354
26
0
21 Mar 2022
SIRe-Networks: Convolutional Neural Networks Architectural Extension for
  Information Preservation via Skip/Residual Connections and Interlaced
  Auto-Encoders
SIRe-Networks: Convolutional Neural Networks Architectural Extension for Information Preservation via Skip/Residual Connections and Interlaced Auto-Encoders
D. Avola
Luigi Cinque
Alessio Fagioli
G. Foresti
335
5
0
06 Oct 2021
CrossNorm and SelfNorm for Generalization under Distribution Shifts
CrossNorm and SelfNorm for Generalization under Distribution ShiftsIEEE International Conference on Computer Vision (ICCV), 2021
Zhiqiang Tang
Yunhe Gao
Yi Zhu
Zhi-Li Zhang
Mu Li
Dimitris N. Metaxas
OOD
270
68
0
04 Feb 2021
Group Whitening: Balancing Learning Efficiency and Representational
  Capacity
Group Whitening: Balancing Learning Efficiency and Representational Capacity
Lei Huang
Yi Zhou
Li Liu
Fan Zhu
Ling Shao
496
24
0
28 Sep 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and
  Application
Normalization Techniques in Training DNNs: Methodology, Analysis and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Lei Huang
Jie Qin
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
AI4CE
471
418
0
27 Sep 2020
Channel Equilibrium Networks for Learning Deep Representation
Channel Equilibrium Networks for Learning Deep RepresentationInternational Conference on Machine Learning (ICML), 2020
Wenqi Shao
Shitao Tang
Xingang Pan
Ping Tan
Xiaogang Wang
Ping Luo
208
17
0
29 Feb 2020
1
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