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. 1705.01450
  4. Cited By
Gabor Convolutional Networks

Gabor Convolutional Networks

3 May 2017
Shangzhen Luan
Baochang Zhang
Chen Chen
Xianbin Cao
J. Han
Jianzhuang Liu
    BDL
ArXivPDFHTML

Papers citing "Gabor Convolutional Networks"

28 / 28 papers shown
Title
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations
Andrzej Perzanowski
Tony Lindeberg
45
1
0
17 Sep 2024
Analytic Convolutional Layer: A Step to Analytic Neural Network
Analytic Convolutional Layer: A Step to Analytic Neural Network
Jingmao Cui
Donglai Tao
Linmi Tao
Ruiyang Liu
Yu Cheng
24
0
0
03 Jul 2024
MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering
MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering
Ahmad AlMughrabi
Ricardo Marques
P. Radeva
44
0
0
02 Jul 2024
Wavelet-Based Image Tokenizer for Vision Transformers
Wavelet-Based Image Tokenizer for Vision Transformers
Zhenhai Zhu
Radu Soricut
ViT
42
3
0
28 May 2024
FViT: A Focal Vision Transformer with Gabor Filter
FViT: A Focal Vision Transformer with Gabor Filter
Yulong Shi
Mingwei Sun
Yongshuai Wang
Rui Wang
52
4
0
17 Feb 2024
Deep Continuous Networks
Deep Continuous Networks
Nergis Tomen
S. Pintea
J. C. V. Gemert
92
14
0
02 Feb 2024
Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks
Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks
Chun Bao
Jie Cao
Yaqian Ning
Yang Cheng
Q. Hao
26
1
0
23 Nov 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Mobarakol Islam
Ben Glocker
OOD
32
6
0
20 Sep 2022
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
Hubert Leterme
K. Polisano
V. Perrier
Alahari Karteek
FAtt
38
2
0
19 Sep 2022
Orientation and Context Entangled Network for Retinal Vessel
  Segmentation
Orientation and Context Entangled Network for Retinal Vessel Segmentation
Xinxu Wei
Kaifu Yang
D. Bzdok
Y. Li
22
32
0
23 Jul 2022
What do CNNs Learn in the First Layer and Why? A Linear Systems
  Perspective
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective
Rhea Chowers
Yair Weiss
31
2
0
06 Jun 2022
GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action
  Recognition using WiFi
GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action Recognition using WiFi
Yanling Hao
Zhiyuan Shi
Xidong Mu
Yuanwei Liu
20
2
0
24 May 2022
Local Intensity Order Transformation for Robust Curvilinear Object
  Segmentation
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation
Tianyi Shi
Nicolas Boutry
Yongchao Xu
Thierry Géraud
18
48
0
25 Feb 2022
Context-Aware Scene Prediction Network (CASPNet)
Context-Aware Scene Prediction Network (CASPNet)
Maximilian Schäfer
Kun-li Zhao
Markus Bühren
A. Kummert
30
8
0
18 Jan 2022
OneDConv: Generalized Convolution For Transform-Invariant Representation
OneDConv: Generalized Convolution For Transform-Invariant Representation
Tong Zhang
Haohan Weng
Ke Yi
C. L. P. Chen
17
0
0
15 Jan 2022
Gabor filter incorporated CNN for compression
Gabor filter incorporated CNN for compression
Akihiro Imamura
N. Arizumi
CVBM
20
2
0
29 Oct 2021
Pixel Difference Networks for Efficient Edge Detection
Pixel Difference Networks for Efficient Edge Detection
Z. Su
Wenzhe Liu
Zitong Yu
D. Hu
Qing Liao
Qi Tian
M. Pietikäinen
Li Liu
36
317
0
16 Aug 2021
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
Touchless Palmprint Recognition based on 3D Gabor Template and Block
  Feature Refinement
Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement
Zhaoqun Li
Xu Liang
Dandan Fan
Jinxing Li
Wei Jia
David Zhang
25
16
0
03 Mar 2021
Deformable Gabor Feature Networks for Biomedical Image Classification
Deformable Gabor Feature Networks for Biomedical Image Classification
Xuan Gong
Xin Xia
Wentao Zhu
Baochang Zhang
David Doermann
Lian Zhuo
OOD
MedIm
14
23
0
07 Dec 2020
Complex-valued Iris Recognition Network
Complex-valued Iris Recognition Network
Kien Nguyen
Clinton Fookes
S. Sridharan
Arun Ross
CVBM
13
24
0
23 Nov 2020
Searching Central Difference Convolutional Networks for Face
  Anti-Spoofing
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
Zitong Yu
Chenxu Zhao
Zezheng Wang
Yunxiao Qin
Z. Su
Xiaobai Li
Feng Zhou
Guoying Zhao
CVBM
53
410
0
09 Mar 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform
Harmonic Convolutional Networks based on Discrete Cosine Transform
Matej Ulicny
V. Krylov
Rozenn Dahyot
25
34
0
18 Jan 2020
Naive Gabor Networks for Hyperspectral Image Classification
Naive Gabor Networks for Hyperspectral Image Classification
Chenying Liu
Jun Li
Lin He
Antonio J. Plaza
Shutao Li
Bo Li
35
45
0
09 Dec 2019
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual
  Recognition
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition
Xiangyang Li
Luis Herranz
Shuqiang Jiang
15
2
0
11 Jul 2019
Provably scale-covariant continuous hierarchical networks based on
  scale-normalized differential expressions coupled in cascade
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade
T. Lindeberg
27
19
0
29 May 2019
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural
  Networks
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
Domen Tabernik
Matej Kristan
A. Leonardis
14
22
0
20 Feb 2019
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
1