ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1804.04076
  4. Cited By
Detail-Preserving Pooling in Deep Networks

Detail-Preserving Pooling in Deep Networks

11 April 2018
Faraz Saeedan
Nicolas Weber
Michael Goesele
Stefan Roth
ArXivPDFHTML

Papers citing "Detail-Preserving Pooling in Deep Networks"

34 / 34 papers shown
Title
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ
  Segmentation
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation
Jin Yang
Daniel S. Marcus
Aristeidis Sotiras
SSeg
28
5
0
12 Mar 2024
NOAH: Learning Pairwise Object Category Attentions for Image
  Classification
NOAH: Learning Pairwise Object Category Attentions for Image Classification
Chao Li
Aojun Zhou
Anbang Yao
VLM
32
2
0
04 Feb 2024
Decomposing and Coupling Saliency Map for Lesion Segmentation in
  Ultrasound Images
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images
Zhenyuan Ning
Yixiao Mao
Qianjin Feng
Shengzhou Zhong
Yu Zhang
18
0
0
02 Aug 2023
Content-Adaptive Downsampling in Convolutional Neural Networks
Content-Adaptive Downsampling in Convolutional Neural Networks
Robin Hesse
Simone Schaub-Meyer
Stefan Roth
17
4
0
16 May 2023
Progressive Meta-Pooling Learning for Lightweight Image Classification
  Model
Progressive Meta-Pooling Learning for Lightweight Image Classification Model
Peijie Dong
Xin-Yi Niu
Zhiliang Tian
Lujun Li
Xiaodong Wang
Zimian Wei
H. Pan
Dongsheng Li
VLM
32
7
0
24 Jan 2023
Self-Attentive Pooling for Efficient Deep Learning
Self-Attentive Pooling for Efficient Deep Learning
Fang Chen
Gourav Datta
Souvik Kundu
P. Beerel
76
6
0
16 Sep 2022
Temporal Lift Pooling for Continuous Sign Language Recognition
Temporal Lift Pooling for Continuous Sign Language Recognition
Lianyu Hu
Liqing Gao
Zekang Liu
Wei Feng
SLR
18
40
0
18 Jul 2022
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for
  Pooling and Unpooling
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling
Mingxing Xu
Chenglin Li
Wenrui Dai
Siheng Chen
Junni Zou
P. Frossard
H. Xiong
32
2
0
31 May 2022
Logarithmic Morphological Neural Nets robust to lighting variations
Logarithmic Morphological Neural Nets robust to lighting variations
Guillaume Noyel
Emile Barbier--Renard
M. Jourlin
T. Fournel
19
1
0
20 Apr 2022
Fully Convolutional Fractional Scaling
Fully Convolutional Fractional Scaling
Michael Soloveitchik
M. Werman
18
0
0
20 Mar 2022
Learning strides in convolutional neural networks
Learning strides in convolutional neural networks
Rachid Riad
O. Teboul
David Grangier
Neil Zeghidour
30
41
0
03 Feb 2022
LogAvgExp Provides a Principled and Performant Global Pooling Operator
LogAvgExp Provides a Principled and Performant Global Pooling Operator
S. Lowe
Thomas Trappenberg
Sageev Oore
FAtt
19
2
0
02 Nov 2021
AdaPool: Exponential Adaptive Pooling for Information-Retaining
  Downsampling
AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
Alexandros Stergiou
R. Poppe
32
78
0
01 Nov 2021
UniNet: Unified Architecture Search with Convolution, Transformer, and
  MLP
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
Jihao Liu
Hongsheng Li
Guanglu Song
Xin Huang
Yu Liu
ViT
37
35
0
08 Oct 2021
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional
  Networks
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks
Bo Wang
J. Hsieh
Ming-Ching Chang
Ping-Yang Chen
Lipeng Ke
Siwei Lyu
FAtt
19
8
0
13 Sep 2021
Learning Deep Morphological Networks with Neural Architecture Search
Learning Deep Morphological Networks with Neural Architecture Search
Yufei Hu
Nacim Belkhir
Jesús Angulo
Angela Yao
Gianni Franchi
AI4CE
28
20
0
14 Jun 2021
LiftPool: Bidirectional ConvNet Pooling
LiftPool: Bidirectional ConvNet Pooling
Jiaojiao Zhao
Cees G. M. Snoek
8
19
0
02 Apr 2021
Modeling the Nonsmoothness of Modern Neural Networks
Modeling the Nonsmoothness of Modern Neural Networks
Runze Liu
Chau-Wai Wong
H. Dai
FAtt
11
0
0
26 Mar 2021
Meta-learning of Pooling Layers for Character Recognition
Meta-learning of Pooling Layers for Character Recognition
Takato Otsuzuki
Heon Song
S. Uchida
Hideaki Hayashi
29
2
0
17 Mar 2021
A new approach to extracting coronary arteries and detecting stenosis in
  invasive coronary angiograms
A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms
Chen Zhao
Haipeng Tang
Daniel Mcgonigle
Zhuo He
Chaoyang Zhang
Yu-Ping Wang
Hong-Wen Deng
Robert Bober
Weihua Zhou
14
6
0
25 Jan 2021
Refining activation downsampling with SoftPool
Refining activation downsampling with SoftPool
Alexandros Stergiou
R. Poppe
Grigorios Kalliatakis
17
158
0
02 Jan 2021
CARAFE++: Unified Content-Aware ReAssembly of FEatures
CARAFE++: Unified Content-Aware ReAssembly of FEatures
Jiaqi Wang
Kai-xiang Chen
Rui Xu
Ziwei Liu
Chen Change Loy
Dahua Lin
16
54
0
07 Dec 2020
Receptive Field Size Optimization with Continuous Time Pooling
Receptive Field Size Optimization with Continuous Time Pooling
Dóra Babicz
Soma Kontár
M. Peto
András Fülöp
Gergely Szabó
A. Horváth
13
1
0
02 Nov 2020
Density-embedding layers: a general framework for adaptive receptive
  fields
Density-embedding layers: a general framework for adaptive receptive fields
Francesco Cicala
Luca Bortolussi
16
0
0
23 Jun 2020
Multi Layer Neural Networks as Replacement for Pooling Operations
Multi Layer Neural Networks as Replacement for Pooling Operations
Wolfgang Fuhl
Enkelejda Kasneci
6
10
0
12 Jun 2020
Regularized Pooling
Regularized Pooling
Takato Otsuzuki
Hideaki Hayashi
Yuchen Zheng
S. Uchida
11
5
0
06 May 2020
Learning in the Frequency Domain
Learning in the Frequency Domain
Kai Xu
Minghai Qin
Fei Sun
Yuhao Wang
Yen-kuang Chen
Fengbo Ren
36
393
0
27 Feb 2020
Radius Adaptive Convolutional Neural Network
Radius Adaptive Convolutional Neural Network
Meisam Rakhshanfar
20
0
0
25 Nov 2019
LIP: Local Importance-based Pooling
LIP: Local Importance-based Pooling
Ziteng Gao
Limin Wang
Gangshan Wu
FAtt
29
94
0
12 Aug 2019
Universal Pooling -- A New Pooling Method for Convolutional Neural
  Networks
Universal Pooling -- A New Pooling Method for Convolutional Neural Networks
Junhyuk Hyun
Hongje Seong
Euntai Kim
13
26
0
26 Jul 2019
A Closed-Form Learned Pooling for Deep Classification Networks
A Closed-Form Learned Pooling for Deep Classification Networks
Vighnesh Birodkar
H. Mobahi
Dilip Krishnan
Samy Bengio
21
0
0
10 Jun 2019
Pixel-Adaptive Convolutional Neural Networks
Pixel-Adaptive Convolutional Neural Networks
Hang Su
Varun Jampani
Deqing Sun
Orazio Gallo
Erik Learned-Miller
Jan Kautz
15
283
0
10 Apr 2019
Hartley Spectral Pooling for Deep Learning
Hartley Spectral Pooling for Deep Learning
H. M. Zhang
Jianwei Ma
23
24
0
07 Oct 2018
A Survey of Model Compression and Acceleration for Deep Neural Networks
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
29
1,087
0
23 Oct 2017
1