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Improved Bilinear Pooling with CNNs

Improved Bilinear Pooling with CNNs

21 July 2017
Tsung-Yu Lin
Subhransu Maji
ArXiv (abs)PDFHTML

Papers citing "Improved Bilinear Pooling with CNNs"

50 / 72 papers shown
Title
Conditional Temporal Neural Processes with Covariance Loss
Conditional Temporal Neural Processes with Covariance Loss
Boseon Yoo
Jiwoo Lee
Janghoon Ju
Seijun Chung
Soyeon Kim
Jaesik Choi
152
15
0
01 Apr 2025
Enhancing Martian Terrain Recognition with Deep Constrained Clustering
Enhancing Martian Terrain Recognition with Deep Constrained Clustering
Tejas Panambur
M. Parente
70
0
0
22 Mar 2025
Tuning Pre-trained Model via Moment Probing
Tuning Pre-trained Model via Moment Probing
Mingze Gao
Qilong Wang
Zhenyi Lin
Pengfei Zhu
Qinghua Hu
Jingbo Zhou
67
8
0
21 Jul 2023
Learning Partial Correlation based Deep Visual Representation for Image
  Classification
Learning Partial Correlation based Deep Visual Representation for Image Classification
Saimunur Rahman
Piotr Koniusz
Lei Wang
Luping Zhou
Peyman Moghadam
Changming Sun
SSL
94
9
0
23 Apr 2023
Kernel function impact on convolutional neural networks
Kernel function impact on convolutional neural networks
M. Amine Mahmoudi
A. Chetouani
Fatma Boufera
Hedi Tabia
FAtt
55
4
0
20 Feb 2023
LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified
  Robustness
LOT: Layer-wise Orthogonal Training on Improving ℓ2\ell_2ℓ2​ Certified Robustness
Xiaojun Xu
Linyi Li
Yue Liu
OODAAML
91
34
0
20 Oct 2022
Fine-grained Activities of People Worldwide
Fine-grained Activities of People Worldwide
J. Byrne
Greg Castañón
Zhongheng Li
G. Ettinger
74
3
0
11 Jul 2022
Batch-efficient EigenDecomposition for Small and Medium Matrices
Batch-efficient EigenDecomposition for Small and Medium Matrices
Yue Song
N. Sebe
Wei Wang
85
2
0
09 Jul 2022
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual
  Recognition
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition
Yue Song
N. Sebe
Wei Wang
103
34
0
26 May 2022
Fine-Grained Visual Classification using Self Assessment Classifier
Fine-Grained Visual Classification using Self Assessment Classifier
Tuong Khanh Long Do
Huy Tran
Erman Tjiputra
Quang-Dieu Tran
Anh Nguyen
121
14
0
21 May 2022
Self-Supervised Learning to Guide Scientifically Relevant Categorization
  of Martian Terrain Images
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images
Tejas Panambur
Deep Chakraborty
Melissa J Meyer
R. Milliken
Erik Learned-Miller
M. Parente
15
15
0
21 Apr 2022
Fast Differentiable Matrix Square Root and Inverse Square Root
Fast Differentiable Matrix Square Root and Inverse Square Root
Yue Song
N. Sebe
Wei Wang
98
16
0
29 Jan 2022
Fast Differentiable Matrix Square Root
Fast Differentiable Matrix Square Root
Yue Song
N. Sebe
Wei Wang
88
14
0
21 Jan 2022
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge Belongie
137
294
0
11 Nov 2021
Fine-Grained Adversarial Semi-supervised Learning
Fine-Grained Adversarial Semi-supervised Learning
Daniele Mugnai
F. Pernici
F. Turchini
A. Bimbo
86
8
0
12 Oct 2021
High-order Tensor Pooling with Attention for Action Recognition
High-order Tensor Pooling with Attention for Action Recognition
Lei Wang
Ke Sun
Piotr Koniusz
96
15
0
11 Oct 2021
A Compositional Feature Embedding and Similarity Metric for
  Ultra-Fine-Grained Visual Categorization
A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization
Yajie Sun
Miaohua Zhang
Xiaohan Yu
Yi Liao
Yongsheng Gao
48
5
0
25 Sep 2021
A Novel Structured Natural Gradient Descent for Deep Learning
A Novel Structured Natural Gradient Descent for Deep Learning
Weihua Liu
Xiabi Liu
ODL
38
0
0
21 Sep 2021
Feature Correlation Aggregation: on the Path to Better Graph Neural
  Networks
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks
Jieming Zhou
Tong Zhang
Pengfei Fang
L. Petersson
Mehrtash Harandi
GNN
106
1
0
20 Sep 2021
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained
  Visual Categorization
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization
Zicheng Pan
Xiaohan Yu
Miaohua Zhang
Yongsheng Gao
50
5
0
16 Sep 2021
Learning a Discriminant Latent Space with Neural Discriminant Analysis
Learning a Discriminant Latent Space with Neural Discriminant Analysis
Mai Lan Ha
Gianni Franchi
Emanuel Aldea
V. Blanz
95
1
0
13 Jul 2021
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
Jun Wang
Xiaohan Yu
Yongsheng Gao
ViT
96
109
0
06 Jul 2021
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global
  Covariance Pooling?
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?
Yue Song
N. Sebe
Wei Wang
98
25
0
06 May 2021
SoT: Delving Deeper into Classification Head for Transformer
SoT: Delving Deeper into Classification Head for Transformer
Jiangtao Xie
Rui Zeng
Qilong Wang
Ziqi Zhou
P. Li
ViT
83
12
0
22 Apr 2021
Tensor Representations for Action Recognition
Tensor Representations for Action Recognition
Piotr Koniusz
Lei Wang
A. Cherian
123
70
0
28 Dec 2020
Power Normalizations in Fine-grained Image, Few-shot Image and Graph
  Classification
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification
Piotr Koniusz
Hongguang Zhang
91
56
0
27 Dec 2020
LQF: Linear Quadratic Fine-Tuning
LQF: Linear Quadratic Fine-Tuning
Alessandro Achille
Aditya Golatkar
Avinash Ravichandran
M. Polito
Stefano Soatto
117
27
0
21 Dec 2020
Invariant Deep Compressible Covariance Pooling for Aerial Scene
  Categorization
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization
Shidong Wang
Yi Ren
G. Parr
Yu Guan
Ling Shao
33
19
0
11 Nov 2020
Learning to Reconstruct and Segment 3D Objects
Learning to Reconstruct and Segment 3D Objects
Bo Yang
3DPC
53
1
0
19 Oct 2020
Domain Adaptive Transfer Learning on Visual Attention Aware Data
  Augmentation for Fine-grained Visual Categorization
Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization
Ashiq Imran
V. Athitsos
61
14
0
06 Oct 2020
Intelligent Matrix Exponentiation
Intelligent Matrix Exponentiation
T. Fischbacher
Iulia Comsa
Krzysztof Potempa
Moritz Firsching
Luca Versari
J. Alakuijala
23
2
0
10 Aug 2020
Salvage Reusable Samples from Noisy Data for Robust Learning
Salvage Reusable Samples from Noisy Data for Robust Learning
Zeren Sun
Xiansheng Hua
Yazhou Yao
Xiu-Shen Wei
Guosheng Hu
Jian Zhang
NoLa
116
41
0
06 Aug 2020
Approximated Bilinear Modules for Temporal Modeling
Approximated Bilinear Modules for Temporal Modeling
Xinqi Zhu
Chang Xu
Langwen Hui
Cewu Lu
Dacheng Tao
67
24
0
25 Jul 2020
Facing the Hard Problems in FGVC
Facing the Hard Problems in FGVC
Connor Anderson
M. Gwilliam
Adam Teuscher
Andrew Merrill
Ryan Farrell
36
5
1
23 Jun 2020
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for
  Radiological Osteoarthritis Detection
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection
N. Bayramoglu
M. Nieminen
S. Saarakkala
MedIm
26
7
0
24 May 2020
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene
  Classification
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification
Shidong Wang
Yu Guan
Ling Shao
68
99
0
09 Apr 2020
Controllable Orthogonalization in Training DNNs
Controllable Orthogonalization in Training DNNs
Lei Huang
Li Liu
Fan Zhu
Diwen Wan
Zehuan Yuan
Bo Li
Ling Shao
78
44
0
02 Apr 2020
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition
Shaobo Min
Hantao Yao
Hongtao Xie
Zhengjun Zha
Yongdong Zhang
80
69
0
30 Mar 2020
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization
  Perspective
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
Qilong Wang
Li Zhang
Banggu Wu
Dongwei Ren
P. Li
W. Zuo
Q. Hu
75
21
0
25 Mar 2020
Wasserstein-based Graph Alignment
Wasserstein-based Graph Alignment
Hermina Petric Maretic
Mireille El Gheche
Matthias Minder
Giovanni Chierchia
P. Frossard
OT
53
23
0
12 Mar 2020
DAF-NET: a saliency based weakly supervised method of dual attention
  fusion for fine-grained image classification
DAF-NET: a saliency based weakly supervised method of dual attention fusion for fine-grained image classification
Zichao Dong
Jilong Wu
Tingting Ren
Yue Wang
Meng-meng Ge
40
2
0
04 Jan 2020
Patchy Image Structure Classification Using Multi-Orientation Region
  Transform
Patchy Image Structure Classification Using Multi-Orientation Region Transform
Xiaohan Yu
Yang Zhao
Yongsheng Gao
Shengwu Xiong
Xiaohui Yuan
37
40
0
02 Dec 2019
On the Impact of Object and Sub-component Level Segmentation Strategies
  for Supervised Anomaly Detection within X-ray Security Imagery
On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery
Neelanjan Bhowmik
Yona Falinie A. Gaus
S. Akçay
Jack W. Barker
T. Breckon
60
23
0
19 Nov 2019
Learning Deep Bilinear Transformation for Fine-grained Image
  Representation
Learning Deep Bilinear Transformation for Fine-grained Image Representation
Heliang Zheng
Jianlong Fu
Zhengjun Zha
Jiebo Luo
87
150
0
09 Nov 2019
ACE: Adaptive Confusion Energy for Natural World Data Distribution
ACE: Adaptive Confusion Energy for Natural World Data Distribution
Yen-Chi Hsu
Cheng-Yao Hong
Ding-Jie Chen
Ming-Sui Lee
D. Geiger
Tyng-Luh Liu
21
4
0
28 Oct 2019
Attention Convolutional Binary Neural Tree for Fine-Grained Visual
  Categorization
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
Ruyi Ji
Longyin Wen
Libo Zhang
Dawei Du
Ynajun Wu
Chen Zhao
Xianglong Liu
Feiyue Huang
67
165
0
25 Sep 2019
REAPS: Towards Better Recognition of Fine-grained Images by Region
  Attending and Part Sequencing
REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing
Peng Zhang
Xinyu Zhu
Zhanzhan Cheng
Shuigeng Zhou
Yi Niu
99
1
0
06 Aug 2019
DeepSquare: Boosting the Learning Power of Deep Convolutional Neural
  Networks with Elementwise Square Operators
DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators
Sheng-Wei Chen
Xu Wang
Chao Chen
Yifan Lu
Xijin Zhang
Linfu Wen
36
2
0
12 Jun 2019
GOT: An Optimal Transport framework for Graph comparison
GOT: An Optimal Transport framework for Graph comparison
Hermina Petric Maretic
Mireille El Gheche
Giovanni Chierchia
P. Frossard
OT
149
120
0
05 Jun 2019
Invariant Feature Coding using Tensor Product Representation
Invariant Feature Coding using Tensor Product Representation
Yusuke Mukuta
Tatsuya Harada
43
0
0
05 Jun 2019
12
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